<｜begin▁of▁sentence｜>### Instruction:
As a network analyst, I often use graph theory and tools like NetworkX to identify patterns within large datasets. In a recent project, I encountered a need to analyze the number of unique ways a network can be mapped onto itself while preserving vertex-edge relationships, a concept known as automorphisms. I decided to use the igraph library, which provides a function called count_automorphisms_vf2 to precisely determine this. I would be happy to explain how to utilize this feature.
### Response:
from igraph import Graph

# Assuming that 'g' is a pre-defined igraph Graph object.
# Note that 'g' must be the same graph passed twice since we are checking for automorphisms.
n_automorphisms = g.count_automorphisms_vf2(g)

print('Number of automorphisms:', n_automorphisms)
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