<｜begin▁of▁sentence｜>### Instruction:
Given two graphs G with a node set {0} having attribute 'a1=True' and H with a node set {'a'} having attribute 'a2='Spam'', can you compute the tensor product of G and H using NetworkX, and list its nodes and edges along with the node attributes?
### 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 tensor product of G and H
P = nx.tensor_product(G, H)

# Print the nodes of the tensor product graph
print(list(P.nodes(data=True)))

# Print the edges of the tensor product graph
print(list(P.edges()))
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