<｜begin▁of▁sentence｜>### Instruction:
Given a graph with the edge set [('A', 'B'), ('A', 'C'), ('B', 'D'), ('C', 'D'), ('D', 'E')], and considering the nodes 'A' and 'B' as sources and 'D' and 'E' as targets, calculate the current-flow betweenness centrality for the subsets of these source and target nodes using the NetworkX library.
### Response:
import networkx as nx
import numpy as np

# Create a graph
G = nx.Graph()
G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'D'), ('C', 'D'), ('D', 'E')])

# Define the subsets of source and target nodes
sources = ['A', 'B']
targets = ['D', 'E']

# Calculate the current-flow betweenness centrality for the subsets
betweenness = nx.current_flow_betweenness_centrality_subset(
    G, sources=sources, targets=targets, normalized=True, weight=None, dtype=np.float64, solver='lu'
)

print('Current-flow betweenness centrality (subset):', betweenness)
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