<｜begin▁of▁sentence｜>### Instruction:
As a therapist who provides counseling and mental health treatment to individuals dealing with various emotional and psychological issues such as anxiety, depression, trauma, and relationship conflicts, imagine that you are working with a network of interconnected individuals seeking to establish meaningful connections and relationships. 

Think of a scenario where you are helping these individuals navigate their relationships within a social network. Suppose each person is represented as a node in a bipartite network, with the individuals seeking connections to enhance their well-being and personal growth. The connections between individuals are depicted as edges in the bipartite graph.

Now, let's say you utilize a special tool called the NetworkX library, which offers a function called maximum_matching. This function enables you to identify the most optimal pairings between individuals in the network to promote supportive and mutually beneficial relationships. Your goal is to determine the maximum bipartite matching, which signifies the most compatible pairs within the social network.

Additionally, you aim to assess whether the established matching is maximal, indicating whether further connections can be made to enhance the overall support and well-being of the individuals in the network. By leveraging the capabilities of the NetworkX library, you can analyze and optimize these interpersonal connections to foster a harmonious and thriving social environment for those seeking meaningful relationships and personal development.
### Response:
import networkx as nx

# Create an example 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'), (3, 'c'), (4, 'a')])

# Find a maximum bipartite matching (assuming [1,2,3,4] and ['a','b','c'] are the two sets)
matching = nx.bipartite.maximum_matching(B)
print(matching)

# Check if the matching is maximal
is_maximal = all(v in matching.values() for v in B)
print(is_maximal)
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