<｜begin▁of▁sentence｜>### Instruction:
As a tour guide, imagine you're leading a group through a bustling city known for its intricate network of streets and alleys. Your task is to navigate them through the city's maze of roads while ensuring they experience its rich history and vibrant culture. However, your journey encounters a challenge: some streets form loops, causing confusion and delaying your progress.

To overcome this obstacle, you remember an innovative tool called the "feedback_arc_set" function, provided by the city's navigation API. This function identifies a subset of roads whose removal would untangle the loops, making the city's layout acyclic and simplifying your route.

Your group eagerly awaits your decision on which roads to prioritize for removal, trusting your expertise to lead them smoothly through the city's enchanting streets. With the feedback_arc_set function at your disposal, you're poised to transform their journey into an unforgettable exploration of this captivating urban landscape.
### Response:
from igraph import Graph

# Create a directed graph with cycle
g = Graph([(0, 1), (1, 2), (2, 3), (3, 0)])  # This creates a cycle

# Calculate feedback arc set to make graph acyclic
feedback_arc_set = g.feedback_arc_set()

# Feedback arc set is a subset of edges that, when removed, make the graph acyclic
print('Feedback Arc Set:', feedback_arc_set)
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