<｜begin▁of▁sentence｜>### Instruction:
Given two graphs G and H where G has nodes [0, 1] with node 0 having attribute 'attribute' set to 'valueG', and edges [(0, 1)]; and H has nodes ['a', 'b'] with node 'a' having attribute 'attribute' set to 'valueH', and edges [('a', 'b')]; what are the nodes, their attributes, and edges of the tensor product of G and H?
### Response:
import networkx as nx

# Create two graphs G and H
G = nx.Graph()
H = nx.Graph()
G.add_node(0, attribute='valueG')
H.add_node('a', attribute='valueH')

# Add edges to G and H
G.add_edge(0, 1)
H.add_edge('a', 'b')

# Compute the tensor product P of graphs G and H
P = nx.tensor_product(G, H)

# Print the nodes and attributes of graph P
print(list(P.nodes(data=True)))
# Print the edges of the graph P
print(list(P.edges(data=True)))
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