<｜begin▁of▁sentence｜>### Instruction:
Given a bipartite graph which you can read from 'bipartite_graph.gml', how can you obtain the bipartite adjacency matrix along with the mappings of row and column indices to the original vertex IDs using igraph's get_biadjacency function?
### Response:
from igraph import Graph
import igraph as ig

# Read the bipartite graph from a file
g = ig.read('bipartite_graph.gml')

# Ensure the graph is bipartite
if not g.is_bipartite():
    raise ValueError('The graph must be bipartite to use get_biadjacency.')

# Get the types of vertices to distinguish the two vertex classes
vertex_types = g.vs['type']  # Assuming 'type' is the vertex attribute indicating the class

# Obtain the bipartite adjacency matrix
biadjacency_matrix, rows, cols = g.get_biadjacency(types=vertex_types)

print('Bipartite Adjacency Matrix:\n', biadjacency_matrix)
print('Row vertices:', rows)
print('Column vertices:', cols)
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