diff --git a/2022/python/15.png b/2022/python/15.png
new file mode 100644
index 0000000..1859005
Binary files /dev/null and b/2022/python/15.png differ
diff --git a/2022/python/day16.py b/2022/python/day16.py
index fc60103..6fb61e4 100644
--- a/2022/python/day16.py
+++ b/2022/python/day16.py
@@ -43,11 +43,11 @@ def parse(rows):
 
 
 def part1(rows, sample=False):
-    p1 = Part1(rows, sample, 30)
+    p1 = Volcano(rows, sample, 30)
     p1.run()
 
 
-class Part1:
+class Volcano:
     def __init__(self, rows, sample, minutes):
         self.rows = rows
         self.sample = sample
@@ -78,9 +78,7 @@ class Part1:
                 if other == lbl:
                     continue
                 self.path_distances[lbl][other] = l[lbl][other]
-               # min(
-               #         [len(x) for x in nx.shortest_simple_paths(self.g, lbl, other)]
-               #     )
+        self.draw()
 
     def do_tick(self, minute):
         pressure = 0
@@ -120,7 +118,6 @@ class Part1:
             pprint(_pris)
             return _pris
 
-
         remaining = self.minutes 
         open_order = []
         while len(self.nonzero):
@@ -141,15 +138,14 @@ class Part1:
             del self.nonzero[nxt]
             # keep track of which order opened
             open_order.append(n.label)
-
-            print("\tMoving to", nxt)
-            print("\tOpening", n.label)
         
-            #distance = self.path_distances[self.cur][n.label]
             self.cur = n.label
             self.valves[self.cur].opened_at = self.minutes - (remaining - 1)
+            self.do_tick(self.minutes+1-remaining)
+            print("\tMoving to", n.label)
+            print("\tOpening ", n.label)
+            print()
 
-            # Tick tick tick
             remaining -= distance # Move
             print("\t\tMoved", distance,"distance/minutes")
             remaining -= 1 # open
@@ -164,6 +160,9 @@ class Part1:
         print("total flow:", self.calculate_total_flow())
         
 
+def part2(rows, sample=False):
+    p2 = Volcano(rows, sample, 26)
+    p2.run()
 
 def main():
     sample = False