<｜begin▁of▁sentence｜>### Instruction:
As a project coordinator, you have been given the task to determine and print the roles for each team member after assigning them to specific project tasks using the Hopcroft-Karp algorithm. The team consists of members from two different departments: Department U with members {1, 2, 3, 4} and Department V with members {'a', 'b', 'c', 'd'}. The project tasks are represented by the edges connecting the members from U to V as follows: (1, 'a'), (1, 'b'), (2, 'b'), (2, 'c'), (3, 'c'), and (4, 'd'). Your goal is to assign the roles 'U' or 'V' to each team member based on the matching found using the algorithm.
### Response:
from networkx.algorithms import bipartite
import networkx as nx

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

matching = bipartite.matching.hopcroft_karp_matching(B)

# Extract the types from the matching
types = {node: 'U' if node in matching else 'V' for node in B}

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