<｜begin▁of▁sentence｜>### Instruction:
In the process of designing a new greenhouse compartmentalization layout to optimize the space for plant clusters, I've conceptualized the different plant areas as nodes in a network, with pathways between them represented as edges. The current blueprint suggests the following connections between plant areas: between area 1 and 2, area 1 and 3, area 2 and 3, area 2 and 4, area 3 and 4, as well as between area 4 and 5. I'm interested in identifying the largest grouping of plant areas where each is directly accessible from any other within the same group - effectively a 'clique' in horticultural planning terms. Could you assist in determining the maximum size of such a clique that can be achieved in this arrangement, using NetworkX to evaluate the given layout structure?
### Response:
import networkx as nx

# Create an undirected graph
G = nx.Graph()

# Add edges
G.add_edges_from([(1, 2), (1, 3), (2, 3), (2, 4), (3, 4), (4, 5)])

# Find the size of a large clique in the graph
clique_size = nx.approximation.large_clique_size(G)
print('Size of a large clique:', clique_size)
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