from queue import Queue
def min_flights(N, a, b):
graph = defaultdict(lambda: []) # graph creation as an adjacency list
for i in range(1, n+1): # vertices go from 1 to n inclusive, one for each city
if 2*i <= n: # adding a directed edge from i to 2*i if it exists
graph[i].append(2*i)
if i-1 >= 0: # adding a directed edge from i to i-1 if it exists
graph[i].append(i-1)
queue = Queue() # creating a queue for the bfs process and adding start vertex a to it
queue.put((a, 0))
visited = {a} # creating a visited set to avoid traversing the same vertex twice
while not queue.empty(): # we use bfs because it guarantees using as less as flights as possible
u, level = queue.get() # we extract a vertex and its level, how many flights we did from a to reach it
if u == b: # if we arrived at the destination b, we return its level, the number of flights we did
return level
for v in graph[u]: # traversing unvisited neighbors of the current vertex
if v not in visited:
visited.add(v)
queue.put((v, level+1))
return -1 # no way to go from a to b, return -1