<｜begin▁of▁sentence｜>### Instruction:
Imagine you're analyzing a supply chain network of ingredients flowing from their sources to a food processing facility where various products are made. This supply chain is mapped as a directed graph, with each node representing a supplier or process, and each directed edge representing the direction in which an ingredient travels.

Now, let's consider a scenario where you have a directed graph representing the flow of specific ingredients from farms to a processing plant, with the edge set recorded as follows: [(1, 2), (1, 3), (2, 3), (3, 4), (3, 5)]. In an effort to study the potential for recycling or backtracking in the supply chain, you're interested in tracing the paths in the reverse direction.

Could you enlighten me on how a food scientist would utilize NetworkX to invert the flow of this supply network, so that all the pathways are reversed? Additionally, what would be the updated set of directed connections between these facilities and processes in the inverted network graph?
### Response:
import networkx as nx

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

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

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