<｜begin▁of▁sentence｜>### Instruction:
Given a graph with the weighted edge set [('A', 'B', 3), ('B', 'C', 4), ('C', 'A', 5)], can you compute the directed combinatorial Laplacian matrix using NetworkX, considering the weights of the edges?
### Response:
import networkx as nx

# Create a directed graph
G = nx.DiGraph()

# Add edges with weights
G.add_weighted_edge_from([('A', 'B', 3), ('B', 'C', 4), ('C', 'A', 5)])

# Compute the directed combinatorial Laplacian matrix
L = nx.directed_combinatorial_laplacian_matrix(G, weight='weight')

print('Directed combinatorial Laplacian matrix:\n', L)
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