<｜begin▁of▁sentence｜>### Instruction:
Given a small network with weighted edges connecting nodes 'A', 'B', 'C', and 'D', calculate the current-flow closeness centrality of each node using the 'lu' solver for linear systems. The graph has the following weighted edges: A-B with a weight of 2, B-C with a weight of 3, C-A with a weight of 1, and C-D with a weight of 4. What would be the centrality values for each node?
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()

# Add weighted edges
G.add_edge('A', 'B', weight=2)
G.add_edge('B', 'C', weight=3)
G.add_edge('C', 'A', weight=1)
G.add_edge('C', 'D', weight=4)

# Compute the current-flow closeness centrality
centrality = nx.current_flow_closeness_centrality(G, normalized=True, weight='weight', solver='lu')

# Display the centrality of nodes
for node, c in centrality.items():
    print(f'Node {node}: {c:.2f}')
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