<｜begin▁of▁sentence｜>### Instruction:
As a videographer, you're tasked with capturing and editing footage for a promotional video highlighting a local music festival. To enhance the visual narrative, you want to create a network representation of the festival's attendees and the likelihood of their interactions based on their interests. Utilizing the Asymmetric_Preference function from the NetworkX library, you aim to generate a bipartite graph that illustrates the connections between two types of festival-goers (e.g., musicians and fans) and their probabilities of engaging with each other. After generating the graph, you'll print a summary to better understand the structure and connectivity of the festival's community.
### Response:
from igraph import Graph

# Example usage with igraph's Asymmetric_Preference:
# Let's create a bipartite graph with two types of vertices, A and B.
# Type A has 5 vertices and Type B has 3 vertices.
# The connection probability from A to B is 0.6, and from B to A is 0.3.
types = [0] * 5 + [1] * 3
probabilities = [(0.6, 0.3)]

# Create the asymmetric preference graph
g = Graph.Asymmetric_Preference(types, probabilities)

# Print out the summary of the created graph
print(g.summary())
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