<｜begin▁of▁sentence｜>### Instruction:
Given a graph whose edge set is [('A', 'B'), ('A', 'C'), ('B', 'D'), ('C', 'D'), ('D', 'E')], can you compute the current-flow betweenness centrality for the nodes using NetworkX, considering no edge weights and using the LU solver for the flow matrix?
### 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')])

# Compute the current flow betweenness centrality for the graph
betweenness = nx.current_flow_betweenness_centrality(G, normalized=True, weight=None, dtype=np.float64, solver='lu')

print('Current flow betweenness centrality:')
for node, centrality in betweenness.items():
    print(f'{node}: {centrality}')
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