tick one vs tick vector

core/junction.hpp

@@ -141,9 +141,6 @@ enum SolverMode
     HEUN = 3
 };
 
-// seems to be the faster so far.
-// static std::mt19937 generator((std::random_device{}()));
-
 template <typename T = double>
 class Layer
 {
@@ -173,7 +170,7 @@ class Layer
     Reference referenceType = NONE;
 
     // the distribution is binded for faster generation
-    // is also shared between 1f and Gaussian noise.
+    // is also shared between 1/f and Gaussian noise.
     std::function<T()> distribution = std::bind(std::normal_distribution<T>(0, 1), std::mt19937(std::random_device{}()));
 
     CVector<T> dWn, dWn2; // one for thermal, one for OneF
@@ -908,7 +905,7 @@ class Layer
     const T getStochasticOneFNoise(T time) {
         if (!this->pinkNoiseSet)
             return 0;
-        else if (this->noiseParams.scaleNoise != 0){
+        else if (this->noiseParams.scaleNoise != 0) {
             // use buffered noise if available
             return this->bfn->tick();
         }
@@ -1016,7 +1013,7 @@ class Layer
         CVector<T> dW2 = CVector<T>(this->distribution);
         if (this->noiseParams.scaleNoise != 0)
         {
-            dW2 = this->bfn->tick();
+            dW2 = this->bfn->tickVector();
         }
         dW.normalize();
         dW2.normalize();

core/noise.hpp

@@ -234,7 +234,7 @@ class VectorAlphaNoise {
         this->components_y = std::unique_ptr<BufferedAlphaNoise<T>>(new BufferedAlphaNoise<T>(bufferSize, alpha, std, 1.));
         this->components_z = std::unique_ptr<BufferedAlphaNoise<T>>(new BufferedAlphaNoise<T>(bufferSize, alpha, std, 1.));
     }
-    CVector<T> tick() {
+    CVector<T> tickVector() {
         this->prevSample = this->currentSample;
         this->currentSample = CVector<T>(
             this->components_x->tick(),
@@ -244,6 +244,16 @@ class VectorAlphaNoise {
         this->currentSample.normalize();
         return this->currentSample;
     }
+
+    T tick(){
+        return this->components_x->tick();
+    }
+
+
+    CVector<T> getPrevSample() {
+        return this->prevSample;
+    }
+
     T getScale() {
         return this->scale;
     }