<｜begin▁of▁sentence｜>### Instruction:
{'Description': "Given an undirected graph with the edge set [('A', 'B'), ('B', 'C'), ('C', 'D'), ('D', 'E'), ('E', 'F'), ('F', 'A')], how to find a matching such that no two edges share a common endpoint, and every edge not in the set shares some common endpoint in the set, where the set is as small as possible?", 'Data': 'The data used are the edges of an undirected graph', 'Problem': 'The code solves the problem of finding the minimum maximal matching of an undirected graph. The result is a set of edges meeting the matching criteria and having minimal size.'}
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([('A', 'B'), ('B', 'C'), ('C', 'D'), ('D', 'E'), ('E', 'F'), ('F', 'A')])

# Find minimum maximal matching
matching = nx.algorithms.matching.min_maximal_matching(G)
print("Minimum maximal matching:", matching)
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