<｜begin▁of▁sentence｜>### Instruction:
Ah, greetings seeker of knowledge. Just as one might attempt to divine the future by carefully selecting cards from a deck, in the vast universe of graphs, we too must select our subset with care and intent. Imagine, if you will, that the intricate connections of our destiny are like the vertices and edges within a graph Ã¢ÂÂ a grand design encoded in a 'littleballoffur13.sparse6' file, a tapestry of data points woven together by unseen threads.

Now, consider that we wish to peer closer into a fragment of this cosmic web. We seek not the entire picture, but a glimpse into a smaller, more manageable constellation of ten nodes Ã¢ÂÂ a subgraph. To achieve this, we would invoke the arcane ritual of the RandomWalkSampler, an algorithmic familiar that traverses the graph like a spirit wandering through an otherworldly plane, each step guided by chance and probability.

So tell me, would you dare to peer into this subset of existence? How might one use the RandomWalkSampler to explore the ten chosen nodes hidden within the sprawling saga written in 'littleballoffur13.gml'? Your quest, my friend, is to uncover these hidden vertices and make known the unseen; to sample a subgraph of ten nodes from the grand graph encoded within the mystical 'littlebalhoffur13.gml'. The divination you seek is in the walk, the random walk through the graph's own path of destiny.
### Response:
import networkx as nx
from littleballoffur import RandomWalkSampler
G = nx.read_sparse6('littleballoffur13.sparse6')
sampler = RandomWalkSampler(number_of_nodes=10)
sampler_G = sampler.sample(G)
print(sampler_G.edges(), sampler_G.nodes())
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