<｜begin▁of▁sentence｜>### Instruction:
As a glassblower, you're tasked with creating unique glass sculptures tailored to specific design preferences. Imagine you have six different types of glass, each with its own distinctive color and texture. Your client provides you with a detailed specification sheet outlining how these glass types should connect in the final sculpture. They've even included a matrix indicating their preferences for how each type of glass should link to others.

To ensure you capture their vision accurately, you want to use a specialized tool called Asymmetric_Preference from the Glass Art Design software suite. This tool allows you to input the distribution of connections for each type of glass, considering both incoming and outgoing connections. With this information, you can generate a directed graph representing the desired connections between the glass types without any loops, ensuring a seamless and visually stunning final piece.
### Response:
from igraph import GraphBase

# Number of vertices in the graph
n = 6

# Type distribution matrix (joint distribution of vertex types)
type_dist_matrix = [[0.3, 0.2], [0.1, 0.4]]

# Preference matrix (connection probabilities for different vertex types)
pref_matrix = [[0.2, 0.5], [0.6, 0.3]]

# Generate an asymmetric preference graph
graph = GraphBase.Asymmetric_Preference(n, type_dist_matrix, pref_matrix, attribute='type', loops=False)

# Print the summary of the graph
print(graph.summary())
<|EOT|>
