<｜begin▁of▁sentence｜>### Instruction:
As a materials engineer working in the aerospace industry, you're tasked with optimizing the performance of composite materials used in spacecraft construction. Recently, you've been utilizing a specialized software tool called GraphSummary, developed by your team, to analyze the structural integrity of composite materials. Today, you need to examine a specific graph representation of material interactions.

The directed graph in question represents the bonding relationships within a composite material, where vertices are labeled as 'A', 'B', and 'C', and edges denote the bonding between different components. To gain insights into this structure, you need to utilize the GraphSummary tool with a verbosity level set to 1, ensuring that it provides a concise summary. Additionally, you require the edge list format to be presented in 'adjlist', allowing for easier interpretation of the connectivity between material components. Importantly, you must ensure that vertex attributes, representing key material properties, are included in the summary, aiding your evaluation of the material's performance characteristics.
### Response:
from igraph import Graph, summary

# Create a graph with some vertices and edges
g = Graph(edges=[(0, 1), (1, 2), (2, 0)], directed=True)
g.vs['label'] = ['A', 'B', 'C'] # Adding vertex labels for illustration purposes

# Generate a summary of the graph
graph_summary = summary(g, verbosity=1, width=70, edge_list_format='adjlist',
                      max_rows=5, print_graph_attributes=False,
                      print_vertex_attributes=True, print_edge_attributes=False,
                      full=True)
print(graph_summary)
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