Use randomly generated samples for testing

main.py

@@ -10,13 +10,15 @@ import numpy as np
 
 #%%
 def f(x):
-    return x * x
+    return 1 / x
 
 #%%
-n = 1000
-x_list = [x / n for x in range(0, n + 1)]
+n = 100
+mu = 2
+sigma = 1
+x_list = np.random.normal(mu, sigma, n)
 x_generator = jackknife.get_sample_generator(x_list)
-y_list = [f(x / n) for x in range(0, n + 1)]
+y_list = [f(x) for x in x_list]
 y_generator = jackknife.get_sample_generator(y_list)
 
 #%%