<｜begin▁of▁sentence｜>### Instruction:
As a cardiologist, you often need to analyze and understand the overall functioning of the heart and cardiovascular system. In this scenario, you have received data about the network of blood vessels in a patient's heart, with each blood vessel representing an edge in an undirected graph. Additionally, the weights associated with the edges represent the level of blockage in each blood vessel.

Your task is to calculate and print the average local transitivity of this network to understand how efficiently blood is flowing through the vessels and whether there are any potential blockages or inefficiencies. To do this, you can utilize the transitivity_avglocal_undirected function in GraphX, a tool that helps cardiologists analyze the efficiency of blood flow within the cardiovascular system.
### Response:
from igraph import Graph

# Create an undirected graph
edges = [(0, 1), (0, 2), (1, 2), (1, 3), (2, 4), (3, 4)]
weights = [1, 2, 1, 1, 2, 1]

# Create a Graph object
graph = Graph(edges=edges)

# Calculate the average local transitivity
avg_transitivity = graph.transitivity_avglocal_undirected(mode='zero', weights=weights)

# Print the average local transitivity
print('Average local transitivity:', avg_transitivity)
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