updated

Random/generators.py

@@ -124,7 +124,7 @@ class LaggedFibonnaci(RandomNumberGenerator):
         return self.values[-1]
 
     def randomNorm(self):
-        return random() / (self.m + 1)
+        return self.random() / (self.m + 1)
 
 
 class MitchelMoore(LaggedFibonnaci):

Random/main.py

@@ -11,13 +11,15 @@ if __name__=="__main__":
                   , MersenneTwister(), BlumBlumShub()]
     
     seed = datetime.now().timestamp()
-    N = 1000
+    N = 1000000
     RESOLUTION = 100
 
     for e in generators:
+        name = type(e).__name__
+        print("processing "+name+"...")
         e.seed(seed)
         res = e.batchRandomNormalized(N)
-        
+        print("building histograms..") 
         #matplotlib prep
         #see https://matplotlib.org/stable/gallery/statistics/histogram_features.html#sphx-glr-gallery-statistics-histogram-features-py
         fig, ax = plt.subplots()
@@ -25,4 +27,5 @@ if __name__=="__main__":
         ax.set_xlabel('Value')
         ax.set_ylabel('Probability density')
         ax.set_title(type(e).__name__)
+        #plt.show()
         plt.savefig(type(e).__name__+'.png')