Get constant references

DominikKamp · DominikKamp · commit debc11bdd337 · 2025-10-02T13:30:04.000+02:00
diff --git a/include/bayesopt/bayesoptbase.hpp b/include/bayesopt/bayesoptbase.hpp
@@ -151,22 +151,22 @@ namespace bayesopt {
     vecOfvec getFinalResults();
 
     /** Get internal samples. */
-    vecOfvec getX();
+    const vecOfvec& getX();
 
     /** Get internal values. */
-    vectord getY();
+    const vectord& getY();
 
     /** Get index of best sample. */
-    size_t getBestIndex();
+    const size_t& getBestIndex();
 
     /** Get indices of best samples. */
-    vectori getBestIndices();
+    const vectori& getBestIndices();
 
     /** Get averages for representative data indices. */
-    vectord getValues();
+    const vectord& getValues();
 
     /** Get numbers for representative data indices. */
-    vectori getNValues();
+    const vectori& getNValues();
 
     /** Saves the current state of the optimization process into a state class. */
     void saveOptimization(BOptState &state);
diff --git a/src/bayesoptbase.cpp b/src/bayesoptbase.cpp
@@ -233,32 +233,32 @@ namespace bayesopt
     return results;
   }
 
-  vecOfvec BayesOptBase::getX()
+  const vecOfvec& BayesOptBase::getX()
   {
     return mModel->getData()->mX;
   }
 
-  vectord BayesOptBase::getY()
+  const vectord& BayesOptBase::getY()
   {
     return mModel->getData()->mY;
   }
 
-  size_t BayesOptBase::getBestIndex()
+  const size_t& BayesOptBase::getBestIndex()
   {
     return mModel->getData()->mMinIndex;
   }
 
-  vectori BayesOptBase::getBestIndices()
+  const vectori& BayesOptBase::getBestIndices()
   {
     return mModel->getData()->indices;
   }
 
-  vectord BayesOptBase::getValues()
+  const vectord& BayesOptBase::getValues()
   {
     return mModel->getData()->values;
   }
 
-  vectori BayesOptBase::getNValues()
+  const vectori& BayesOptBase::getNValues()
   {
     return mModel->getData()->nvalues;
   }

Original file line number	Diff line number	Diff line change
`@@ -233,32 +233,32 @@ namespace bayesopt`
`233`	`233`	`return results;`
`234`	`234`	`}`
`235`	`235`
`236`		`- vecOfvec BayesOptBase::getX()`
	`236`	`+ const vecOfvec& BayesOptBase::getX()`
`237`	`237`	`{`
`238`	`238`	`return mModel->getData()->mX;`
`239`	`239`	`}`
`240`	`240`
`241`		`- vectord BayesOptBase::getY()`
	`241`	`+ const vectord& BayesOptBase::getY()`
`242`	`242`	`{`
`243`	`243`	`return mModel->getData()->mY;`
`244`	`244`	`}`
`245`	`245`
`246`		`- size_t BayesOptBase::getBestIndex()`
	`246`	`+ const size_t& BayesOptBase::getBestIndex()`
`247`	`247`	`{`
`248`	`248`	`return mModel->getData()->mMinIndex;`
`249`	`249`	`}`
`250`	`250`
`251`		`- vectori BayesOptBase::getBestIndices()`
	`251`	`+ const vectori& BayesOptBase::getBestIndices()`
`252`	`252`	`{`
`253`	`253`	`return mModel->getData()->indices;`
`254`	`254`	`}`
`255`	`255`
`256`		`- vectord BayesOptBase::getValues()`
	`256`	`+ const vectord& BayesOptBase::getValues()`
`257`	`257`	`{`
`258`	`258`	`return mModel->getData()->values;`
`259`	`259`	`}`
`260`	`260`
`261`		`- vectori BayesOptBase::getNValues()`
	`261`	`+ const vectori& BayesOptBase::getNValues()`
`262`	`262`	`{`
`263`	`263`	`return mModel->getData()->nvalues;`
`264`	`264`	`}`