<｜begin▁of▁sentence｜>### Instruction:
Imagine you're orchestrating a theatrical production where the paths of light need to be meticulously planned and then mirrored for a particular scene, symbolizing a narrative reversal or a shift in perspective. Your current lighting setup is represented as a directed illumination pathway map, where each spotlight is a node, and the directional beams signify the flow from one light to the next. The spotlights are numbered from 1 to 5, with the directed beams currently routing from spotlight 1 to 2, 1 to 3, 2 to 3, 3 to 4, and 3 to 5.

Now, to achieve the desired reversal effect, you need to reconfigure the system to mirror the original setup. Using NetworkX's reverse function, how would you determine the configuration of the pathways (now beams) in your reversed illumination map? Essentially, you are looking to sketch out which spotlights would need to be connected in this reversed scenario, maintaining the essence of the original design for dramatic impact. Can you visualize the beams of the new reversed structure?
### Response:
import networkx as nx

# Given a directed graph G
G = nx.DiGraph([(1, 2), (1, 3), (2, 3), (3, 4), (3, 5)])

# Reverse the directed graph G
G_reversed = nx.reverse(G, copy=True)

# Print the edges of the reversed graph
print(list(G_reversed.edges()))
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