<｜begin▁of▁sentence｜>### Instruction:
Given a networkx erdos_renyi_graph with params n=1000, p=0.3, can you use CirculatedNeighborsRandomWalkSampler to sample a subgraph with 200 nodes and calculate the average clustering coefficient of the sampled nodes?
### Response:
import networkx as nx
from littleballoffur import CirculatedNeighborsRandomWalkSampler

G = nx.gnp_random_graph(n=1000, p=0.3)

sampler = CirculatedNeighborsRandomWalkSampler(200)

sampler_G = sampler.sample(G, start_node=0)

result = nx.average_clustering(sampler_G)

print(result)
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