<｜begin▁of▁sentence｜>### Instruction:
Given a directed graph with edges [('x', 'a', 3.0), ('x', 'b', 1.0), ('a', 'c', 3.0), ('b', 'c', 5.0), ('b', 'd', 4.0), ('d', 'e', 2.0), ('c', 'y', 2.0), ('e', 'y', 3.0)] where each tuple represents an edge with a specific capacity, compute the value of the minimum cut between the source 'x' and the sink 'y'.
### Response:
import networkx as nx

# Create a directed graph
G = nx.DiGraph()

# Add edges with capacity
G.add_edge('x', 'a', capacity=3.0)
G.add_edge('x', 'b', capacity=1.0)
G.add_edge('a', 'c', capacity=3.0)
G.add_edge('b', 'c', capacity=5.0)
G.add_edge('b', 'd', capacity=4.0)
G.add_edge('d', 'e', capacity=2.0)
G.add_edge('c', 'y', capacity=2.0)
G.add_edge('e', 'y', capacity=3.0)

# Compute the value of the minimum cut
result = nx.minimum_cut_value(G, 'x', 'y')

print('The value of the minimum cut is:', result)
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