<｜begin▁of▁sentence｜>### Instruction:
As a screenwriter crafting a script for a crime drama series, imagine a scene where two detectives, Detectives Smith and Rodriguez, are investigating a complex network of connections among suspects in a case. In this scenario, the detectives are utilizing cutting-edge technology, represented by NetworkX, to analyze the relationships among key individuals. They have gathered intelligence on a cycle of four suspects, each represented by a node, with an additional edge connecting the fourth suspect back to the first. 

Now, the detectives are faced with the task of identifying all the minimal pathways between their starting point, suspect 0, and their target, suspect 3. These pathways, known as "minimal s-t separators," are crucial for understanding how information flows through the network and pinpointing potential weak points or bottlenecks that could disrupt criminal activities.

Using the NetworkX library's functionality, Detectives Smith and Rodriguez aim to programmatically determine these minimal s-t separators, enabling them to strategize their investigation more effectively and uncover the truth behind the criminal network they're unraveling.
### Response:
import networkx as nx

# Create a graph
G = nx.cycle_graph(4)
G.add_edge(4, 1)

# Find all minimal s-t separators
s = 0  # source node
t = 3  # target node
all_separators = nx.all_node_cuts(G, s, t)

# Print minimal s-t separators
for sep in all_separators:
    print(sep)
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