Change given A* code for real life example like city distance or any other.

def aStarAlgo(start_node, stop_node):

open_set = set(start_node)

closed_set = set()

g = {}

parents = {}

g[start_node] = 0

parents[start_node] = start_node

while len(open_set) > 0:

n = None

for v in open_set:

if n == None or g[v] + heuristic(v) < g[n] + heuristic(n):

n = v

if n == stop_node or Graph_nodes[n] == None:

pass

else:

for (m, weight) in get_neighbors(n):

if m not in open_set and m not in closed_set:

open_set.add(m)

parents[m] = n

g[m] = g[n] + weight

else:

if g[m] > g[n] + weight:

g[m] = g[n] + weight

parents[m] = n

if m in closed_set:

closed_set.remove(m)

open_set.add(m)

if n == None:

print('Path does not exist!')

return None

if n == stop_node:

path = []

while parents[n] != n:

path.append(n)

n = parents[n]

path.append(start_node)

path.reverse()

print('Path found: {}'.format(path))

return path

open_set.remove(n)

closed_set.add(n)

print('Path does not exist!')

return None

def get_neighbors(v):

if v in Graph_nodes:

return Graph_nodes[v]

else:

return None

def heuristic(n):

H_dist = {

'A': 11,

'B': 6,

'C': 99,

'D': 1,

'E': 7,

'G': 0,

}

return H_dist[n]

Graph_nodes = {'A': [('B', 2), ('E', 3)],

'B': [('C', 1),('G', 9)],

'C': None,

'E': [('D', 6)],

'D': [('G', 1)],}

aStarAlgo('A', 'G')