<｜begin▁of▁sentence｜>### Instruction:
As a civil engineer working on an infrastructure project, let's consider a scenario where you're overseeing the construction of a road network for a city with 500 intersections. The road construction plan is based on an erdos_renyi_graph model, with a likelihood of 0.3 for any pair of intersections being connected by a road. Now, imagine that you are using a DepthFirstSearchSampler to visually inspect a sub-section of the road network, consisting of 50 intersections, to evaluate the efficiency of travel between these points. You are interested in computing the average shortest path length in the sampled sub-network to ensure that it meets safety and efficiency standards.
### Response:
import networkx as nx
from littleballoffur import DepthFirstSearchSampler

G = nx.gnp_random_graph(n=500, p=0.3)

sampler = DepthFirstSearchSampler(50, seed=10)

sampler_G = sampler.sample(G)

result = nx.average_shortest_path_length(sampler_G)

print(result)
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