<｜begin▁of▁sentence｜>### Instruction:
Given an undirected bipartite graph with vertices labeled 'A', 'B', 'C', 'D', 'E', 'F' and edges connecting 'A' to 'E' and 'F', 'B' to 'E' and 'F', 'C' to 'F', and 'D' to 'F', can you compute the biadjacency matrix using a deprecated alias method from igraph to check bipartite structure?
### Response:
from igraph import Graph

# Create an example undirected graph with bipartite structure
vertices = ['A', 'B', 'C', 'D', 'E', 'F']
edges = [(0, 4), (0, 5), (1, 4), (1, 5), (2, 5), (3, 5)]
g = Graph(edges=edges, directed=False)
g.vs['name'] = vertices

types = [1, 1, 1, 1, 0, 0]  # 1 for one set of bipartite vertices, 0 for the other

g.vs['type'] = types  # Assign types to vertices

# Get biadjacency matrix
# Usage of get_incidence is deprecated, instead, use get_biadjacency()
incidence_matrix = g.get_biadjacency(types)
print(incidence_matrix)
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