<｜begin▁of▁sentence｜>### Instruction:
As a cartographer tasked with designing a navigational tool for a linear town with five interconnected checkpoints, imagine you are employing a geographic information system (GIS) that utilizes NetworkX for spatial analysis. Your GIS software includes a script utilizing the 'all_pairs_shortest_path' function from the NetworkX library to analyze the layout, specifically to chart the most efficient routes between each pair of checkpoints.

Could you illustrate how this particular script would generate a comprehensive atlas detailing the minimal travel distances between every pair of checkpoints along this path graph? This would be instrumental in enhancing the accuracy and utility of your mapping project.
### Response:
import networkx as nx
G = nx.path_graph(5)
paths = dict(nx.all_pairs_shortest_path(G))
for src in paths:
    for dest, path in paths[src].items():
        print(f'Shortest path from {src} to {dest}: {path}')
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