<｜begin▁of▁sentence｜>### Instruction:
As a hospitality manager, on a busy day at your hotel, you need to manage the flow of guests and staff efficiently. You have a network of corridors connecting different areas in the hotel, with each corridor having a specific capacity. You are interested in identifying all possible routes or corridors that can be used for guests to move from the main entrance (vertex 0) to the conference room located at the opposite end of the hotel (vertex 3). These routes may involve crossing one or more intermediate areas or floors of the hotel (vertices 1 and 2). Understanding the different corridor combinations will help you optimize the traffic flow and provide a smoother experience for your guests.

You would like to calculate all the potential paths or edges that form "edge-cuts" (s-t cuts) between the main entrance (source vertex 0) and the conference room (target vertex 3) in order to optimize guest movement and ensure efficient operations.

You can achieve this by using the networkx library in Python, which provides a convenient interface for handling and analyzing network data.
### Response:
from igraph import Graph

g = Graph([(0, 1), (0, 2), (1, 2), (1, 3), (2, 3)], directed=True)
source_vertex = 0
target_vertex = 3
all_cuts = g.all_st_cuts(source=source_vertex, target=target_vertex)

# Print all s-t cuts
for cut in all_cuts:
  print(cut.edges())
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