<｜begin▁of▁sentence｜>### Instruction:
Given the parameters l=4 (number of groups), k=3 (number of vertices in each group), p_in=0.5 (probability of connecting vertices within a group), p_out=0.1 (probability of connecting vertices between groups), and a seed value of 42 for reproducibility, how can the planted_partition_graph function in NetworkX be used to generate a graph, and what are the basic properties of the generated graph?
### Response:
import networkx as nx

# Use the planted partition graph generator to create a graph
l = 4  # Number of groups
k = 3  # Number of vertices in each group
p_in = 0.5  # Probability of connecting vertices within a group
p_out = 0.1  # Probability of connected vertices between groups
seed = 42  # Seed for random number generation

# Create the graph
G = nx.planted_partition_graph(l, k, p_in, p_out, seed=seed, directed=False)

# Print information about the graph
print(nx.info(G))
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