<｜begin▁of▁sentence｜>### Instruction:
Given a weighted graph with edges [('A', 'B', 1), ('B', 'C', 2), ('C', 'A', 3)], how can you determine the number of edges in the maximum weight matching using NetworkX?
### Response:
from networkx.algorithms.matching import max_weight_matching
import networkx as nx

# Create a weighted graph
G = nx.Graph()
G.add_edge('A', 'B', weight=1)
G.add_edge('B', 'C', weight=2)
G.add_edge('C', 'A', weight=3)

# Find the maximum weight matching in the graph
matching = max_weight_matching(G, maxcardinality=False)

# Create a Matching object
matching_obj = nx.algorithms.matching.Matching(matching)

# Get the number of edges in the matching
matching_size = len(matching_obj)
print('Number of edges in the matching:', matching_size)
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