<｜begin▁of▁sentence｜>### Instruction:
Given two graphs, G with one node labeled '0' having an attribute 'a1' set to 'True', and H with one node labeled 'a' having an attribute 'a2' set to 'Spam', how would you use NetworkX to compute the Cartesian product of G and H, and subsequently list the nodes and edges in the resulting product graph?
### Response:
import networkx as nx

# Create two graphs, G and H
G = nx.Graph()
G.add_node(0, a1=True)

H = nx.Graph()
H.add_node("a", a2="Spam")

# Compute the Cartesian product of G and H
P = nx.cartesian_product(G, H)

# List nodes in the Cartesian product graph
print(list(P.nodes(data=True)))

# List edges in the Cartesian product graph
print(list(P.edges()))
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