Replace #define ... with pragma once

src/main/Experiment.h

@@ -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
+}

src/main/HyperParameters.h

@@ -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 */

src/main/Models.h

@@ -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

src/main/Result.h

@@ -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

src/main/modelRegister.h

@@ -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();});