<｜begin▁of▁sentence｜>### Instruction:
As a green building consultant specialized in advising on sustainable and environmentally friendly building practices, materials, and certifications for construction projects, I often encounter the need to analyze and optimize building layouts for maximum efficiency. Recently, I was tasked with examining the arrangement of different building components within a complex structure, and I came across the need to calculate the canonical permutation of these components for further analysis. This involves utilizing the BLISS algorithm with 'first non-singleton cell' splitting heuristics to determine the optimal arrangement.

In this scenario, the building components can be likened to the nodes of a graph, while the connections and relationships between them are represented by the edges. By leveraging the canonical_permutation function in igraph, I aim to calculate and print the canonical permutation of these components using the specified algorithm and heuristics to further enhance the layout and design of the building structure.
### Response:
from igraph import Graph

# Define a small example graph
edges = [(0, 1), (1, 2), (2, 3), (3, 0), (1, 3)]
g = Graph(edges=edges, directed=False)

# Calculate the canonical permutation of the graph
canonical_perm = g.canonical_permutation(sh='f')

# Output the permutation
print('Canonical Permutation:', canonical_perm)

# Optionally, permute the vertices to get the canonical form of the graph
g_permuted = g.permute_vertices(canonical_perm)
print('Permuted Graph:', g_permuted)
<|EOT|>
