<｜begin▁of▁sentence｜>### Instruction:
Given parameters n = 5 (the number of nodes), m = 3 (the number of attributes), and k = 1 (the size of the attribute set to assign to each node), along with a seed value of 42 for reproducibility, generate a k-random intersection graph using the NetworkX `k_random_intersection_graph` function. Print the edges of the graph and the number of nodes and edges.
### Response:
import networkx as nx

# Create a random intersection graph with parameters
n = 5  # Number of nodes
m = 3  # Number of attributes
k = 1  # Size of attribute set to assign to each node

# Use a fixed seed for reproducibility
seed = 42

# Generate the graph
G = nx.k_random_intersection_graph(n, m, k, seed)

# Print the edges of the graph
print(G.edges())

# Display the number of nodes and edges
print('Number of nodes:', len(G.nodes()))
print('Number of edges:', len(G.edges()))
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