<｜begin▁of▁sentence｜>### Instruction:
Certainly! Let's translate the question into a scenario more suited to a Robotics Technician:

Imagine you're working on the assembly line in an industrial environment, and you have two robotic arms. The first robotic arm, which we'll call 'Robot G', has a sequence of programmed movements symbolized by the connections between points [(0, 1), (1, 2), (2, 3)]. The second robotic arm 'Robot H' has a simpler movement pattern represented by the connections [(0, 1), (1, 2)], with point 0 being the base or 'root' from where it starts its operation.

Your task is to create a new, more complex operation by combining the movement patterns of 'Robot G' and 'Robot H'. You want Robot H's movements to be appended to each point in Robot G's movement sequence, effectively basing 'Robot H' at every point along 'Robot G's path. Could you set up the control system that determines this combined movement pattern and lists out all the new connections that would represent the new sequence of operations for our robotic system on the assembly line? This is what we call the rooted product in network theory, and your goal is to craft this combined operation map using NetworkX software to compute it and then print out the edge set for the resulting graph.
### Response:
import networkx as nx

# Create two graphs, G and H
G = nx.Graph()
H = nx.Graph()
G.add_edges_from([(0, 1), (1, 2), (2, 3)])
H.add_node(0)
H.add_edges_from([(0, 1), (1, 2)])

# Choose a root node in H
root = 0

# Compute the rooted product of G and H with root in H
R = nx.algorithms.operators.product.rooted_product(G, H, root)

# Print the edges of the rooted product graph
print(sorted(R.edges(data=True)))
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