<｜begin▁of▁sentence｜>### Instruction:
Given group sizes [10, 10, 10], a within-group connection probability of 0.25, and a between-group connection probability of 0.01, can you create a random partition graph and provide the total number of nodes and groups using NetworkX?
### Response:
import networkx as nx

# Set the sizes for each group in the partition
sizes = [10, 10, 10]

# Set the within-group and between-group probabilities
p_in = 0.25
p_out = 0.01

# Generate the random partition graph
g = nx.random_partition_graph(sizes, p_in, p_out, seed=42)

# Access the partition
partition = g.graph['partition']

# Print the number of nodes in the graph
print('The number of nodes in the graph:', len(g))

# Print the number of groups in the partition
print('The number of groups in the partition:', len(partition))
<|EOT|>
