<｜begin▁of▁sentence｜>### Instruction:
Given a graph read from 'littleballoffur4.sparse6', how can you use SpikyBallSampler to sample a subgraph with a specified number of nodes, sampling probabilities, and other parameters to control the sampling process?
### Response:
import networkx as nx
from littleballoffur import SpikyBallSampler
G = nx.read_sparse6('littleballoffur4.sparse6')
sampler = SpikyBallSampler(number_of_nodes=10, sampling_probability=0.1, initial_nodes_ratio=0.1, seed=42, max_hops=100000, mode='fireball', max_visited_nodes_backlog=100, restart_hop_size=10, distrib_coeff=1.0)
sampler_G = sampler.sample(G)
print(sampler_G.edges(), sampler_G.nodes());
<|EOT|>
