<｜begin▁of▁sentence｜>### Instruction:
As a medical transcriptionist ensures the confidentiality and completeness of medical records, let's consider a scenario. Imagine transcribing the details of a patient's medical history, including potential duplicate diagnostic findings and treatments. Similarly, in a graph context, if you were using the NetworkX library, you could check if a specific edge in the graph has parallel edges by utilizing the `is_multigraph` attribute.
### Response:
from igraph import Graph

# Create a graph with potential multiple edges
g = Graph(n=3, edges=[(0, 1), (1, 2), (0, 1)], directed=False)

# Check if an edge is multiple (has parallel edges)
is_edge_multiple = g.es[0].is_multiple()

print(f'Is the edge multiple: {is_edge_multiple}')
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