<｜begin▁of▁sentence｜>### Instruction:
Imagine a bipartite graph with two sets of nodes, set 1 containing nodes ['A', 'B', 'C', 'D'] and set 2 containing nodes [1, 2, 3, 4]. The edges are [('A', 1), ('B', 1), ('C', 2), ('C', 3), ('D', 4)]. Can you use NetworkX's 'eppstein_matching' function to find the maximum cardinality matching of this bipartite graph?
### Response:
import networkx as nx
from networkx.algorithms import bipartite

# Create a bipartite graph
B = nx.Graph()
B.add_nodes_from(['A', 'B', 'C', 'D'], bipartite=0) # Add the node attribute 'bipartite'
B.add_nodes_from([1, 2, 3, 4], bipartite=1)
B.add_edges_from([('A', 1), ('B', 1), ('C', 2), ('C', 3), ('D', 4)])

# Compute the maximum cardinality matching
# In this case, we explicitly specify the top nodes
matching = bipartite.eppstein_matching(B, ['A', 'B', 'C', 'D'])

print('The matching is:', matching)
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