<｜begin▁of▁sentence｜>### Instruction:
As a tax accountant, you're likely familiar with the importance of precision and accuracy in financial matters. Imagine you're tasked with analyzing a company's financial network, represented by a graph of transactions between different departments or accounts. The edges in this graph signify transactions between these entities.

Now, your goal is to identify the minimum cut in this network. In simpler terms, you need to pinpoint the smallest set of connections that, if severed, would split the network into two disconnected parts. This information could be crucial for understanding the flow of resources or identifying potential vulnerabilities in the financial structure.

To achieve this, you might utilize a tool like igraph, which provides functionalities for graph analysis. Specifically, you would need to employ the `minimum_cut` function to compute the minimum cut in the graph. Once you have this information, you can represent the cut as a string using the `__str__` method, allowing for easier interpretation and communication of your findings to relevant stakeholders.
### Response:
import igraph as ig

# create a graph
g = ig.Graph([(0, 1), (0, 2), (1, 2), (2, 3), (3, 1), (3, 0)])

# perform a minimum cut
cut = g.mincut()

# use the overridden __str__ method to get a string representation of the cut
str_cut = cut.__str__()

print(str_cut)
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