<｜begin▁of▁sentence｜>### Instruction:
As a Home Inspector, let's consider a scenario where you're inspecting a house with a series of interconnected rooms. Each room is connected to one another by doorways, forming a network. Now, imagine you're tasked with ensuring the safety and structural integrity of these connections.

In one particular inspection, you're provided with a blueprint detailing the doorways between rooms, represented as edges. For example, the blueprint might show that Room 0 connects to Room 1, Room 1 connects to Room 2, and Room 2 connects to Room 3.

Additionally, you're given a set of doorways that are currently matched, meaning they have been secured or reinforced for stability. These matched doorways are crucial for maintaining the structural integrity of the house.

Your task is to assess whether this matching of doorways is maximal. In other words, are all possible matched doorways utilized without compromising safety or violating building codes? To aid in your evaluation, you can utilize NetworkX's Matching class, which provides tools for analyzing and manipulating matchings in graphs.
### Response:
import networkx as nx
from networkx.algorithms.matching import Matching

# Create a graph
G = nx.Graph()
# Add some edges
e = [(0, 1), (1, 2), (2, 3)]
G.add_edges_from(e)
# Create a matching with a single edge
m = {(0, 1), (2, 3)}
matching = Matching(G, m)
# Check if the matching is maximal
is_maximal_matching = matching.is_maximal()
print('The matching is maximal:', is_maximal_matching)
<|EOT|>
