<｜begin▁of▁sentence｜>### Instruction:
As a nutrition coach, you'd like to understand the different types associated with a meal plan, including the matching of specific foods to each individual's dietary requirements. This involves analyzing the relationships between different food items and individuals in order to optimize their nutrition plans. In a similar way, given a bipartite graph representing individuals and food items, you might want to explore the different types associated with a Matching object in NetworkX to ensure that the meal plans are meeting the specific dietary needs of each individual.
### Response:
import networkx as nx

# Create a bipartite graph
B = nx.Graph()
B.add_nodes_from([1, 2, 3, 4], bipartite=0)
B.add_nodes_from(['a', 'b', 'c'], bipartite=1)
B.add_edges_from([(1, 'a'), (1, 'b'), (2, 'b'), (2, 'c'), (3, 'c'), (4, 'a')])

# Instantiate a Matching object
matching = nx.algorithms.matching.Matching(B)

# Get the types of the matching
matching_types = matching.types

# Print the types
print(matching_types)
<|EOT|>
