<｜begin▁of▁sentence｜>### Instruction:
Imagine we're in a lab setting, and we've modeled a chain of chemical reactions in a linear sequence, represented by a graph with four stages, akin to a path graph used in network theory. Now, consider the reaction stages as nodes, numerically labeled 1 through 4 for clarity. I have a hypothesis that in the chain reaction model, the stages identified as 1 and 3 may function as a complementary pair, much like in a bipartite graph where nodes are split into two separate groupings. Could you delve into the experimental data and determine if stages 1 and 3 indeed make up one such grouping in our bipartite representation of the reaction sequence?
### Response:
import networkx as nx
from networkx.algorithms import bipartite

G = nx.path_graph(4)
X = set([1, 3])
result = bipartite.is_bipartite_node_set(G, X)
print('Is the set X a bipartition of G?', result)
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