diff --git a/code/expt/avg_dist.py b/code/expt/avg_dist.py
index 941a8de..625da65 100644
--- a/code/expt/avg_dist.py
+++ b/code/expt/avg_dist.py
@@ -45,7 +45,7 @@ def main(args):
     # Logging
     print('.', end='', flush=True)
     for i, n in enumerate(lmdk_n):
-      for r in range(args.reps):
+      for r in range(args.iter):
         # Generate landmarks
         lmdks = lmdk_lib.get_lmdks(seq, n, d)
         # Calculate average distance
@@ -54,7 +54,7 @@ def main(args):
           t_prv, t_nxt = gdp.get_limits(t, seq, lmdks)
           avg_cur += (abs(t - t_prv) - 1 + abs(t - t_nxt) - 1 )/len(seq)
         # Normalized average based on repetitions
-        avg_dist[i] += avg_cur/args.reps
+        avg_dist[i] += avg_cur/args.iter
     # Rescaling (min-max normalization)
     # https://en.wikipedia.org/wiki/Feature_scaling#Rescaling_(min-max_normalization)
     avg_dist = (avg_dist - avg_dist.min())/(avg_dist.max() - avg_dist.min())
@@ -88,7 +88,7 @@ def main(args):
   Parse arguments.
 
   Optional:
-    reps - The number of repetitions.
+    iter - The total iterations.
     time - The time limit of the sequence.
 '''
 def parse_args():
@@ -98,7 +98,7 @@ def parse_args():
   # Mandatory arguments.
 
   # Optional arguments.
-  parser.add_argument('-r', '--reps', help='The number of repetitions.', type=int, default=1)
+  parser.add_argument('-i', '--iter', help='The total iterations.', type=int, default=1)
   parser.add_argument('-t', '--time', help='The time limit of the sequence.', type=int, default=100)
 
   # Parse arguments.