<｜begin▁of▁sentence｜>### Instruction:
Given a graph with nodes 'A', 'B', and 'C', and edges ('A', 'B'), ('A', 'C'), and ('B', 'C') with a 'thickness' attribute described by the values 1, 2, and 3, respectively, compute the attribute matrix based on the 'thickness' of the edges. Additionally, use a specified node attribute order of ['A', 'B', 'C'] for the rows and columns of the matrix.
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edge('A', 'B', thickness=1, weight=2)
G.add_edge('A', 'C', thickness=2)
G.add_edge('B', 'C', thickness=3, weight=5)

# Obtain the adjacency matrix with a running total of the 'thickness' attribute
matrix, ordering = nx.attr_matrix(G, edge_attr="thickness", rc_order=['A', 'B', 'C'])

print("Matrix:\n", matrix)
print("Ordering:", ordering)
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