<｜begin▁of▁sentence｜>### Instruction:
Given a directed graph with edge set [('A', 'B'), ('B', 'C'), ('C', 'A'), ('C', 'D')], can you compute the trophic differences for each edge using NetworkX's trophic differences function?
### Response:
import networkx as nx

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

# Add edges
G.add_edge('A', 'B', weight=1)
G.add_edge('B', 'C', weight=1)
G.add_edge('C', 'A', weight=1)
G.add_edge('C', 'D', weight=1)

# Compute the trophic differences
trophic_diff = nx.algorithms.trophic.trophic_differences(G)

# Print the trophic differences
print(trophic_diff)
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