<｜begin▁of▁sentence｜>### Instruction:
As a Renewable Energy Engineer, you have been tasked with designing and developing a renewable energy system that involves the integration of various components. In this particular scenario, you are looking to create a network representation of the potential connections between different components of the renewable energy system. The system consists of two types of components - Type A and Type B, with 5 and 10 components respectively. Based on the specifications provided, you need to use the Asymmetric_Preference function from the igraph library to generate a graph that reflects the connection probabilities between the components of Type A and Type B. Once the graph is generated, you will need to provide a summary of the resulting network to gain insights into the interconnections within the renewable energy system.
### Response:
import igraph as ig

# Generate a graph with asymmetric vertex types and connection probabilities
vertex_d = [5, 10]  # Number of vertices for each type
conn_probs = [[0.5, 0.1], [0.1, 0.9]]  # Connection probabilities

graph = ig.Graph.Asymmetric_Preference(vertex_d, conn_probs)

# Print summary of the generated graph
print(graph.summary())
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