Updated test notebooks after nrenaming of experimental classes.

library/convGAN_experimental.py

@@ -27,7 +27,7 @@ from tensorflow.keras.layers import Lambda
 
 import time
 
-from library.NNSearch import NNSearch
+from library.NNSearch_experimental import NNSearch
 from library.timing import timing
 
 import warnings
@@ -43,7 +43,7 @@ def create01Labels(totalSize, sizeFirstHalf):
     labels.extend(repeat(np.array([0,1]), totalSize - sizeFirstHalf))
     return np.array(labels)
 
-class ConvGAN2(GanBaseClass):
+class ConvGAN_experimental(GanBaseClass):
     """
     This is a toy example of a GAN.
     It repeats the first point of the training-data-set.
@@ -378,7 +378,7 @@ class ConvGAN2(GanBaseClass):
         self.timing["NMB"].start()
         t = time.time()
         neigh = NNSearch(self.neb, timingDict=self.timing)
-        neigh.fit(data_min)
+        neigh.fit_cLib(data_min)
         self.tNbhFit += (time.time() - t)
         self.nNbhFit += 1
         self.timing["NMB"].stop()