<｜begin▁of▁sentence｜>### Instruction:
As a cinematographer preparing for a new film project, you've been tasked with planning and coordinating the visual elements of a pivotal scene involving a complex network of interactions. In this scene, there are two groups of characters, each with their own unique roles and relationships. However, the director has provided you with only the degrees of the characters' connections within their respective groups. Now, you're wondering if it's possible to create a coherent visual representation of this scene by depicting it as a bipartite graph.

To achieve this, you need to determine whether the provided sequences of degrees can form a valid bipartite graph. This involves analyzing the structure of the connections between the characters in each group and ensuring that the specified degrees align with the characteristics of a bipartite graph. To assist you in this task, you might utilize tools like NetworkX, a Python library for the creation, manipulation, and study of complex networks, which offers functions to check the feasibility of constructing bipartite graphs based on given degree sequences. By leveraging NetworkX's capabilities, you can ascertain whether the visual representation you envision for this scene aligns with the underlying network structure implied by the provided degree sequences.
### Response:
from igraph import Graph

# Define the degree sequences for two partitions
degrees1 = [3, 2, 3]
degrees2 = [2, 3, 3]

# Check if the sequences can form a bipartite graph with multiple edges
is_bipartite = Graph.is_bigraphical(degrees1, degrees2, multiple=True)

print(is_bipartite)
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