<｜begin▁of▁sentence｜>### Instruction:
As a Cat Behaviorist, imagine you're faced with a scenario where you're tasked with introducing two groups of cats to each other in a way that minimizes tension and promotes harmony. One group consists of three cats with varying degrees of sociability, while the other group comprises three different cats with their own temperaments.

To achieve this, you might consider using a method called Realize_Bipartite_Degree_Sequence from the Cat Harmony Graph (CHG) Toolkit, a specialized tool designed for facilitating feline introductions. This method helps create a bipartite graph where each cat's sociability level is represented by their degree within their respective groups.

Given that one group has cats with degrees [3, 2, 1] and the other group with degrees [1, 2, 3], you can utilize the Realize_Bipartite_Degree_Sequence function with a 'simple' graph type (ensuring no multi-cat interactions) and an index-based selection method to construct a harmonious graph layout that minimizes potential conflicts during the introductions.

By employing this approach, you aim to foster positive interactions among the cats, addressing any issues such as aggression or anxiety that may arise during their initial encounters, ultimately promoting a peaceful coexistence within the feline community.
### Response:
from igraph import GraphBase

# Given degrees for two vertex partitions:
degrees1 = [3, 2, 1]
degrees2 = [1, 2, 3]

# Generate a bipartite graph with the given degree sequences
bipartite_graph = GraphBase.Realize_Bipartite_Degree_Sequence(degrees1, degrees2, allowed_edge_types='simple', method='index')

# Print the adjacency list for visual verification
print(bipartite_graph.get_adjlist())
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