<｜begin▁of▁sentence｜>### Instruction:
As a renewable energy engineer, you're working on a new project that involves designing and developing a hydroelectric power system for electricity generation. You need to analyze the network of water flow channels and turbines to ensure an efficient and reliable setup.

Can you use the feedback_arc_set function from igraph to calculate and remove the edges that form the feedback arc set using the 'eades' method, and then provide the remaining edges of the acyclic network? This will help optimize the flow of water and electricity generation within the system, ensuring that it operates smoothly and without any feedback loops.
### Response:
from igraph import Graph

# Create a directed graph
edges = [(0, 1), (1, 2), (2, 3), (3, 1)]
g = Graph(edges=edges, directed=True)

# Calculate the feedback arc set using the 'eades' method
feedback_arc_set = g.feedback_arc_set(weights=None, method='eades')

# Remove the edges from the graph
g.delete_edges(feedback_arc_set)

# Print the remaining edges
print(g)
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