<｜begin▁of▁sentence｜>### Instruction:
Given a graph represented as a path graph with 6 nodes (node 0 to node 5), how can you compute the Voronoi cells centered at nodes 0 and 3 using NetworkX?
### Response:
import networkx as nx

# Create a graph
G = nx.path_graph(6)

# Define the center nodes for the Voronoi cells
center_nodes = {0, 3}

# Compute Voronoi cells
voronoi_cells = nx.voronoi_cells(G, center_nodes)

# Extract partition induced by Voronoi cells and sort it
partition = set(map(frozenset, voronoi_cells.values()))
sorted_partition = sorted(map(sorted, partition))
print(sorted_partition)
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