<｜begin▁of▁sentence｜>### Instruction:
During an energy audit for a local power distribution network, we are examining the flow of electrical current through a series of substations, represented as a directed graph. The substations are labeled x, a, b, c, d, e, y, and there are various transmission lines connecting them with specific maximum capacities. We are interested in determining the maximum amount of current that can flow from substation x to substation y. How would we calculate this maximum possible current transmission using NetworkX to ensure we are optimizing the network's efficiency and capacity?
### Response:
import networkx as nx

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

# Add edges with capacities
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 maximum flow
flow_value = nx.maximum_flow_value(G, 'x', 'y')

print('The value of the maximum flow from node x to node y:', flow_value)
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