<｜begin▁of▁sentence｜>### Instruction:
Imagine you're in a classroom setting, guiding your massage therapy students through a collaborative exercise. You've assigned them to work on two separate techniques, with the first group focusing on a sequence that moves from the base of the skull, point 0, to the shoulder, point 1, and then down the arm towards the elbow, point 2. The second group has been working on a transition from the elbow, point 2, extending the sequence to the wrist, point 3.

You wish to demonstrate how to seamlessly integrate these two sequences into one fluid massage routine. To illustrate this concept, think of these sequences as connections in a metaphorical network, with each point representing a node where the massage transitions from one part of the body to another.

So, consider G as the sequence [(0, 1), (1, 2)] practiced by the first group and H as the sequence [(2, 3)] practiced by the second group.

How would you, as a massage instructor, guide your students to combine these two sequences into one continuous flow? What would be the points of contact (nodes) and transitions (edges) of the resulting comprehensive massage routine?

To provide a tangible representation, if we were to document this combined routine in a graphical model (let's say a hypothetical 'massage_sequence.gml' file), what would the model look like in terms of its connections and points of continuity?
### Response:
import networkx as nx

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

# Compose G and H together
r = nx.compose(g, h)

# Print out the nodes and edges of the resulting graph
print('Nodes:', r.nodes())
print('Edges:', r.edges())
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