<｜begin▁of▁sentence｜>### Instruction:
As a costume designer working on a historical drama film set in the 1960s, you are responsible for designing and creating wardrobe pieces for the main characters. To better understand the character interactions and connections, you want to create a visual representation of the relationships between characters. Using your design software, you would like to use the `Graph.get_biadjacency` function in igraph to retrieve the biadjacency matrix of the character relationships within the script. This will allow you to analyze the connections and design wardrobes that reflect the social dynamics portrayed in the film.
### Response:
from igraph import Graph

# Create a bipartite graph
g = Graph.Bipartite([0, 0, 1, 1], [(0, 2), (0, 3), (1, 2)])

# Get the biadjacency matrix
types = g.vs['type']  # types should be a boolean list
biadjacency_matrix = g.get_biadjacency(types)

print(biadjacency_matrix)
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