<｜begin▁of▁sentence｜>### Instruction:
As a proofreader, I can help refine the structure of the instructions for solving a specific task. In this case, suppose you're building a navigation app that requires calculating the shortest path between two points on a map, and you're using the networkx library to represent the map as a graph. The graph data consists of weighted edges, and your current task is to determine the shortest path from a starting vertex, '0', to a target vertex, '3'. When implementing this, you intend to use the `get_shortest_paths` function in networkx to compute the shortest path while considering all edges regardless of their direction. Can you confirm if this approach is appropriate for achieving the desired functionality within the app's routing system?
### Response:
import igraph as ig

# Create an undirected graph with weighted edges
edges = [(0, 1), (0, 2), (1, 2), (1, 3)]
weights = [10, 1, 1, 1]
g = ig.Graph(edges=edges)
g.es['weight'] = weights

# Get the shortest path from vertex 0 to vertex 3
vpath = g.get_shortest_paths(v=0, to=3, weights='weight', mode='ALL', output='vpath')
# Extract the actual path (vertex IDs) from the result
shortest_path = vpath[0]
print('The shortest path from vertex 0 to vertex 3 is:', shortest_path)
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