Replace #define ... with pragma once

This commit is contained in:
2024-03-10 12:50:35 +01:00
parent 51f32113c0
commit 0010c840d1
33 changed files with 84 additions and 111 deletions

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@@ -42,7 +42,7 @@ add_executable(b_main ${main_sources} common/Datasets.cc common/Dataset.cc repor
target_link_libraries(b_main "${PyClassifiers}" "${BayesNet}" ArffFiles mdlp ${Python3_LIBRARIES} "${TORCH_LIBRARIES}" ${LIBTORCH_PYTHON} Boost::python Boost::numpy)
# b_manage
set(manage_sources b_manage.cc ManageResults.cc CommandParser.cc Results.cc)
set(manage_sources b_manage.cc ManageResults.cc CommandParser.cc ResultsManager.cc)
list(TRANSFORM manage_sources PREPEND manage/)
add_executable(
b_manage ${manage_sources} main/Result.cc

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@@ -1,5 +1,5 @@
#ifndef BESTRESULTS_H
#define BESTRESULTS_H
#pragma once
#include <string>
#include <nlohmann/json.hpp>
using json = nlohmann::json;
@@ -34,4 +34,3 @@ namespace platform {
int maxDatasetName = 0;
};
}
#endif //BESTRESULTS_H

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@@ -1,5 +1,5 @@
#ifndef BESTRESULTS_EXCEL_H
#define BESTRESULTS_EXCEL_H
#pragma once
#include <vector>
#include <map>
#include <nlohmann/json.hpp>
@@ -34,4 +34,3 @@ namespace platform {
int datasetNameSize = 25; // Min size of the column
};
}
#endif //BESTRESULTS_EXCEL_H

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@@ -1,5 +1,5 @@
#ifndef BESTSCORE_H
#define BESTSCORE_H
#pragma once
#include <string>
#include <map>
#include <utility>
@@ -24,5 +24,3 @@ namespace platform {
}
};
}
#endif

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@@ -1,5 +1,5 @@
#ifndef STATISTICS_H
#define STATISTICS_H
#pragma once
#include <iostream>
#include <vector>
#include <map>
@@ -60,4 +60,3 @@ namespace platform {
std::map<std::string, std::map<std::string, float>> ranksModels;
};
}
#endif // !STATISTICS_H

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@@ -1,5 +1,5 @@
#ifndef LOCALE_H
#define LOCALE_H
#pragma once
#include <locale>
#include <iostream>
#include <string>
@@ -19,4 +19,3 @@ namespace platform {
}
};
}
#endif

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@@ -1,5 +1,5 @@
#ifndef COLORS_H
#define COLORS_H
#pragma once
#include <string>
class Colors {
public:
@@ -13,4 +13,3 @@ public:
static std::string IBLUE() { return "\033[0;94m"; }
static std::string RESET() { return "\033[0m"; }
};
#endif // COLORS_H

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@@ -1,5 +1,5 @@
#ifndef DATASET_H
#define DATASET_H
#pragma once
#include <torch/torch.h>
#include <map>
#include <vector>
@@ -75,4 +75,3 @@ namespace platform {
};
};
#endif

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@@ -1,5 +1,5 @@
#ifndef DATASETS_H
#define DATASETS_H
#pragma once
#include "Dataset.h"
namespace platform {
class Datasets {
@@ -27,5 +27,3 @@ namespace platform {
std::string toString() const;
};
};
#endif

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@@ -1,5 +1,5 @@
#ifndef DOTENV_H
#define DOTENV_H
#pragma once
#include <string>
#include <map>
#include <fstream>
@@ -52,4 +52,3 @@ namespace platform {
}
};
}
#endif

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@@ -1,5 +1,5 @@
#ifndef PATHS_H
#define PATHS_H
#pragma once
#include <string>
#include <filesystem>
#include "DotEnv.h"
@@ -36,4 +36,3 @@ namespace platform {
}
};
}
#endif

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@@ -1,5 +1,5 @@
#ifndef SYMBOLS_H
#define SYMBOLS_H
#pragma once
#include <string>
namespace platform {
class Symbols {
@@ -15,4 +15,3 @@ namespace platform {
inline static const std::string notebook{ "\U0001F5C8" };
};
}
#endif // !SYMBOLS_H

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@@ -1,5 +1,5 @@
#ifndef TIMER_H
#define TIMER_H
#pragma once
#include <chrono>
#include <string>
#include <sstream>
@@ -40,4 +40,3 @@ namespace platform {
}
};
} /* namespace platform */
#endif /* TIMER_H */

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@@ -1,5 +1,5 @@
#ifndef UTILS_H
#define UTILS_H
#pragma once
#include <sstream>
#include <string>
#include <vector>
@@ -27,4 +27,3 @@ namespace platform {
return result;
}
}
#endif

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@@ -1,5 +1,5 @@
#ifndef GRIDDATA_H
#define GRIDDATA_H
#pragma once
#include <string>
#include <vector>
#include <map>
@@ -23,4 +23,3 @@ namespace platform {
std::map<std::string, json> grid;
};
} /* namespace platform */
#endif /* GRIDDATA_H */

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@@ -1,5 +1,5 @@
#ifndef GRIDSEARCH_H
#define GRIDSEARCH_H
#pragma once
#include <string>
#include <map>
#include <mpi.h>
@@ -57,4 +57,3 @@ namespace platform {
Timer timer; // used to measure the time of the whole process
};
} /* namespace platform */
#endif /* GRIDSEARCH_H */

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@@ -1,5 +1,5 @@
#ifndef DATASETS_EXCEL_H
#define DATASETS_EXCEL_H
#pragma once
#include <vector>
#include <map>
#include <nlohmann/json.hpp>
@@ -16,4 +16,3 @@ namespace platform {
void report(json& data);
};
}
#endif //DATASETS_EXCEL_H

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@@ -75,6 +75,9 @@ void list_datasets(argparse::ArgumentParser& program)
void list_results(argparse::ArgumentParser& program)
{
std::cout << "Results" << std::endl;
auto dataset = program.get<string>("--dataset");
auto score = program.get<string>("--score");
}
int main(int argc, char** argv)
@@ -107,6 +110,7 @@ int main(int argc, char** argv)
throw std::runtime_error("Dataset must be one of " + datasets.toString());
}
);
program.add_argument("-s", "--score").default_value("accuracy").help("Filter results of the score name supplied");
// Add subparsers
program.add_subparser(datasets_command);
program.add_subparser(results_command);

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@@ -1,5 +1,5 @@
#ifndef EXPERIMENT_H
#define EXPERIMENT_H
#pragma once
#include <torch/torch.h>
#include <nlohmann/json.hpp>
#include <string>
@@ -42,5 +42,4 @@ namespace platform {
int nfolds{ 0 };
int max_name{ 7 }; // max length of dataset name for formatting (default 7)
};
}
#endif
}

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@@ -1,5 +1,5 @@
#ifndef HYPERPARAMETERS_H
#define HYPERPARAMETERS_H
#pragma once
#include <string>
#include <map>
#include <vector>
@@ -20,4 +20,3 @@ namespace platform {
std::map<std::string, json> hyperparameters;
};
} /* namespace platform */
#endif /* HYPERPARAMETERS_H */

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@@ -1,5 +1,5 @@
#ifndef MODELS_H
#define MODELS_H
#pragma once
#include <map>
#include <bayesnet/BaseClassifier.h>
#include <bayesnet/ensembles/AODE.h>
@@ -39,4 +39,3 @@ namespace platform {
Registrar(const std::string& className, function<bayesnet::BaseClassifier* (void)> classFactoryFunction);
};
}
#endif

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@@ -1,5 +1,5 @@
#ifndef RESULT_H
#define RESULT_H
#pragma once
#include <map>
#include <vector>
#include <string>
@@ -48,4 +48,3 @@ namespace platform {
double score = 0.0;
};
};
#endif

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@@ -1,5 +1,5 @@
#ifndef MODEL_REGISTER_H
#define MODEL_REGISTER_H
#pragma once
static platform::Registrar registrarT("TAN",
[](void) -> bayesnet::BaseClassifier* { return new bayesnet::TAN();});
static platform::Registrar registrarTLD("TANLd",
@@ -27,5 +27,4 @@ static platform::Registrar registrarSvc("SVC",
static platform::Registrar registrarRaF("RandomForest",
[](void) -> bayesnet::BaseClassifier* { return new pywrap::RandomForest();});
static platform::Registrar registrarXGB("XGBoost",
[](void) -> bayesnet::BaseClassifier* { return new pywrap::XGBoost();});
#endif
[](void) -> bayesnet::BaseClassifier* { return new pywrap::XGBoost();});

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@@ -1,5 +1,5 @@
#ifndef COMMAND_PARSER_H
#define COMMAND_PARSER_H
#pragma once
#include <string>
#include <vector>
#include <tuple>
@@ -17,4 +17,3 @@ namespace platform {
int index;
};
} /* namespace platform */
#endif /* COMMAND_PARSER_H */

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@@ -12,7 +12,7 @@
namespace platform {
ManageResults::ManageResults(int numFiles, const std::string& model, const std::string& score, bool complete, bool partial, bool compare) :
numFiles{ numFiles }, complete{ complete }, partial{ partial }, compare{ compare }, results(Results(Paths::results(), model, score, complete, partial))
numFiles{ numFiles }, complete{ complete }, partial{ partial }, compare{ compare }, results(ResultsManager(model, score, complete, partial))
{
indexList = true;
openExcel = false;

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@@ -1,7 +1,7 @@
#ifndef MANAGE_RESULTS_H
#define MANAGE_RESULTS_H
#pragma once
#include <xlsxwriter.h>
#include "Results.h"
#include "ResultsManager.h"
namespace platform {
class ManageResults {
@@ -23,9 +23,7 @@ namespace platform {
bool complete;
bool partial;
bool compare;
Results results;
ResultsManager results;
lxw_workbook* workbook;
};
}
#endif /* MANAGE_RESULTS_H */

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@@ -1,9 +1,10 @@
#include <algorithm>
#include "Results.h"
#include "common/Paths.h"
#include "ResultsManager.h"
namespace platform {
Results::Results(const std::string& path, const std::string& model, const std::string& score, bool complete, bool partial) :
path(path), model(model), scoreName(score), complete(complete), partial(partial)
ResultsManager::ResultsManager(const std::string& model, const std::string& score, bool complete, bool partial) :
path(Paths::results()), model(model), scoreName(score), complete(complete), partial(partial)
{
load();
if (!files.empty()) {
@@ -12,7 +13,7 @@ namespace platform {
maxModel = 0;
}
}
void Results::load()
void ResultsManager::load()
{
using std::filesystem::directory_iterator;
for (const auto& file : directory_iterator(path)) {
@@ -28,47 +29,47 @@ namespace platform {
}
}
}
void Results::hideResult(int index, const std::string& pathHidden)
void ResultsManager::hideResult(int index, const std::string& pathHidden)
{
auto filename = files.at(index).getFilename();
rename((path + "/" + filename).c_str(), (pathHidden + "/" + filename).c_str());
files.erase(files.begin() + index);
}
void Results::deleteResult(int index)
void ResultsManager::deleteResult(int index)
{
auto filename = files.at(index).getFilename();
remove((path + "/" + filename).c_str());
files.erase(files.begin() + index);
}
int Results::size() const
int ResultsManager::size() const
{
return files.size();
}
void Results::sortDate()
void ResultsManager::sortDate()
{
sort(files.begin(), files.end(), [](const Result& a, const Result& b) {
return a.getDate() > b.getDate();
});
}
void Results::sortModel()
void ResultsManager::sortModel()
{
sort(files.begin(), files.end(), [](const Result& a, const Result& b) {
return a.getModel() > b.getModel();
});
}
void Results::sortDuration()
void ResultsManager::sortDuration()
{
sort(files.begin(), files.end(), [](const Result& a, const Result& b) {
return a.getDuration() > b.getDuration();
});
}
void Results::sortScore()
void ResultsManager::sortScore()
{
sort(files.begin(), files.end(), [](const Result& a, const Result& b) {
return a.getScore() > b.getScore();
});
}
bool Results::empty() const
bool ResultsManager::empty() const
{
return files.empty();
}

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@@ -1,5 +1,5 @@
#ifndef RESULTS_H
#define RESULTS_H
#pragma once
#include <map>
#include <vector>
#include <string>
@@ -7,9 +7,9 @@
#include "main/Result.h"
namespace platform {
using json = nlohmann::json;
class Results {
class ResultsManager {
public:
Results(const std::string& path, const std::string& model, const std::string& score, bool complete, bool partial);
ResultsManager(const std::string& model, const std::string& score, bool complete, bool partial);
void sortDate();
void sortScore();
void sortModel();
@@ -32,5 +32,4 @@ namespace platform {
std::vector<Result> files;
void load(); // Loads the list of results
};
};
#endif
};

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@@ -1,5 +1,5 @@
#ifndef EXCELFILE_H
#define EXCELFILE_H
#pragma once
#include <locale>
#include <string>
#include <map>
@@ -42,4 +42,3 @@ namespace platform {
void setDefault();
};
}
#endif // !EXCELFILE_H

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@@ -1,5 +1,5 @@
#ifndef REPORTBASE_H
#define REPORTBASE_H
#pragma once
#include <string>
#include <iostream>
#include <nlohmann/json.hpp>
@@ -33,4 +33,3 @@ namespace platform {
bool existBestFile = true;
};
};
#endif

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@@ -1,5 +1,5 @@
#ifndef REPORTCONSOLE_H
#define REPORTCONSOLE_H
#pragma once
#include <string>
#include "common/Colors.h"
#include "ReportBase.h"
@@ -19,4 +19,3 @@ namespace platform {
void showSummary() override;
};
};
#endif

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@@ -1,5 +1,5 @@
#ifndef REPORTEXCEL_H
#define REPORTEXCEL_H
#pragma once
#include <map>
#include <xlsxwriter.h>
#include "common/Colors.h"
@@ -22,4 +22,3 @@ namespace platform {
void header_notes(int row);
};
};
#endif // !REPORTEXCEL_H

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@@ -1,5 +1,5 @@
#ifndef TEST_UTILS_H
#define TEST_UTILS_H
#pragma once
#include <torch/torch.h>
#include <string>
#include <vector>
@@ -40,4 +40,3 @@ public:
double epsilon = 1e-5;
};
#endif //TEST_UTILS_H