<｜begin▁of▁sentence｜>### Instruction:
Given a bipartite graph with edge set [('A', 1), ('B', 1), ('A', 2), ('C', 2), ('D', 3), ('E', 3)], where the set ['A', 'B', 'C', 'D', 'E'] contains all nodes from one of the bipartite node sets, can you compute the degree centrality for the nodes in this set using NetworkX?
### Response:
import networkx as nx
from networkx.algorithms import bipartite

# Create a bipartite graph
B = nx.Graph()
# Add edges between node sets U and V
B.add_edges_from([('A', 1), ('B', 1), ('A', 2), ('C', 2), ('D', 3), ('E', 3)])

# Define one set of bipartite nodes
U = set(['A', 'B', 'C', 'D', 'E'])
V = set([1, 2, 3])

# Ensure the bipartite graph is valid
assert bipartite.is_bipartite_node_set(B, U)
assert bipartite.is_bipartite_node_set(B, V)

# Compute the degree centrality for nodes in set U
centrality = bipartite.degree_centrality(B, U)
print(centrality)
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