<｜begin▁of▁sentence｜>### Instruction:
As an intensive care nurse, imagine you are managing a network of interconnected patient conditions, and you need to use advanced technology to condense the information into a more manageable form. The goal is to merge the critical details of two patients into one record, effectively reducing the amount of information you have to track. How would you use a specialized tool like the Graph.contract_vertices function from igraph to achieve this, specifically merging the details of one patient with another, while maintaining the integrity of the overall network?
### Response:
from igraph import Graph

# Define a graph with some vertices
edges = [(0, 1), (1, 2), (2, 3), (3, 4), (4, 0), (1, 3)]
g = Graph(edges=edges)

# Define the mapping to contract vertices
# This will merge vertices 1 and 2, as well as 3 and 4 into single vertices
vertices_to_merge = {1: 1, 2: 1, 3: 2, 4: 2}

# Perform the contraction
# The second argument (combine_attrs) determines how to combine attributes
# Here we set it to 'ignore' since we don't have vertex attributes
g.contract_vertices(vertices_to_merge, combine_attrs='ignore')

# Print the simplified graph
print(g)
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