<｜begin▁of▁sentence｜>### Instruction:
Imagine you're monitoring a network of five air quality monitoring stations positioned throughout a city, connected in such a way that each station directly shares data with all the others, forming a complete graph. Your task is to reconfigure this graph into a cycle where a technician could visit each station and check the connections exactly once, which necessitates an Eulerian circuit. How would you go about transforming this existing network into one that supports such a circuit? Moreover, utilizing the environmental data analysis tool, NetworkX, how can we confirm that the new configuration of the station network indeed forms an Eulerian graph suitable for the technician’s inspection route?
### Response:
import networkx as nx

# Create a complete graph with 5 nodes
G = nx.complete_graph(5)

# Eulerize the graph (make it Eulerian)
H = nx.eulerize(G)

# Verify if the resulting graph is Eulerian
is_eulerian = nx.is_eulerian(H)
print('Is the eulerized graph Eulerian?', is_eulerian)
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