<｜begin▁of▁sentence｜>### Instruction:
As a business consultant, I often assist clients in optimizing their operational processes to achieve greater efficiency and profitability. Suppose a client in the manufacturing industry seeks to organize their supply chain network in a more structured manner. They want to create a hierarchical structure, resembling a tree, where each intermediate node represents a distribution center and has exactly two child nodes representing warehouses. They also need a total of 10 vertices to represent all their facilities in the network. How can they achieve this using igraph?
### Response:
from igraph import Graph

# Define the number of vertices and children for the tree
num_vertices = 10
children_per_vertex = 2

# Generate a tree
# In this example, every non-leaf vertex will have exactly 2 children
# which means it's a binary tree

# The argument `children` here stands for branching (how many children per vertex)
tree = Graph.Tree(n=num_vertices, children=children_per_vertex)

# Print the adjacency matrix to visualize the tree structure
print(tree.get_adjacency())
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