<｜begin▁of▁sentence｜>### Instruction:
As an Inventory Planner, you have access to a dataset containing collaboration information among astrophysicists, which is stored in a GML file named 'astro-ph.gml'. Your task is to compare and evaluate the community structures identified using the Louvain and Leiden algorithms. Specifically, you need to calculate the Adjusted Mutual Information (AMI) between the partitions obtained by these algorithms. This analysis will help you determine the degree of agreement between the community structures detected by the two algorithms.
### Response:
import networkx as nx
from cdlib import algorithms, evaluation

# Read the graph
G = nx.read_gml('astro-ph.gml')

# Perform community detection using two different algorithms
communities_louvain = algorithms.louvain(G)
communities_leiden = algorithms.leiden(G)

# Compute the Adjusted Mutual Information between the two partitionings
ami = evaluation.adjusted_mutual_information(communities_louvain, communities_leiden)

print(ami.score)
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