diff --git a/python/examples/repetition_code.py b/python/examples/repetition_code.py
index 945e826..c2571fe 100644
--- a/python/examples/repetition_code.py
+++ b/python/examples/repetition_code.py
@@ -13,62 +13,6 @@ from hccd import path_tracker, homotopy_generator
 # autopep8: on
 
 
-# class RepetitionCodeHomotopy:
-#     """Helper type implementing necessary functions for PathTracker.
-#
-#        Repetiton code homotopy:
-#            G = [[x1],
-#                 [x2],
-#                 [x1]]
-#
-#            F = [[1 - x1**2],
-#                 [1 - x2**2],
-#                 [1 - x1*x2]]
-#
-#            H = (1-t)*G + t*F
-#
-#        Note that
-#            y := [[x1],
-#                  [x2],
-#                  [t]]
-#     """
-#     @staticmethod
-#     def evaluate_H(y: np.ndarray) -> np.ndarray:
-#         """Evaluate H at y."""
-#         x1 = y[0]
-#         x2 = y[1]
-#         t = y[2]
-#
-#         print(y)
-#
-#         result = np.zeros(shape=3)
-#         result[0] = -t*x1**2 + x1*(1-t) + t
-#         result[1] = -t*x2**2 + x2*(1-t) + t
-#         result[2] = -t*x1*x2 + x1*(1-t) + t
-#
-#         return result
-#
-#     @staticmethod
-#     def evaluate_DH(y: np.ndarray) -> np.ndarray:
-#         """Evaluate Jacobian of H at y."""
-#         x1 = y[0]
-#         x2 = y[1]
-#         t = y[2]
-#
-#         result = np.zeros(shape=(3, 3))
-#         result[0, 0] = -2*t*x1 + (1-t)
-#         result[0, 1] = 0
-#         result[0, 2] = -x1**2 - x1 + 1
-#         result[1, 0] = 0
-#         result[1, 1] = -2*t*x2 + (1-t)
-#         result[1, 2] = -x2**2 - x2 + 1
-#         result[1, 0] = -t*x2 + (1-t)
-#         result[1, 1] = -t*x1
-#         result[1, 2] = -x1*x2 - x1 + 1
-#
-#         return result
-
-
 def track_path(args):
     H = np.array([[1, 1, 0, 0],
                   [0, 1, 1, 0],
@@ -86,7 +30,7 @@ def track_path(args):
 
     ys_start, ys_prime, ys_hat_e, ys = [], [], [], []
 
-    y = np.zeros(5) + np.array([0.5, 0.48, -0.1, 0.2, 0 ])
+    y = np.zeros(5) + np.array([0.5, 0.48, -0.1, 0.2, 0])
     for i in range(args.num_iterations):
         y_start, y_prime, y_hat_e, y = tracker.transparent_step(y)
         ys_start.append(y_start)