<｜begin▁of▁sentence｜>### Instruction:
Alrighty, imagine we're out on the construction site, and someone throws us a blueprint for a complex building. Just like we break down those plans to figure out how much concrete or how many beams we need, we've got this digital blueprint of sortsÃ¢ÂÂa graph in a 'littleballoffur2.sparse6' file. Now, pretend that graph is our construction project, and we want to zero in on a specific part of itÃ¢ÂÂthe nodes are like rooms, and the edges are like the hallways that connect them.

So, let's say we need to plan a renovation for just a part of this building, but we're working with a couple of constraints. First off, this renovation can't be massive; we can only manage to handle a specific number of roomsÃ¢ÂÂnodesÃ¢ÂÂin this scenario. Plus, just like we can't demolish support walls willy-nilly, there are some rules about which rooms can or can't be included together in our subproject. We need some smart way to pick out a connected chunk of the buildingÃ¢ÂÂour subgraphÃ¢ÂÂfollowing these rules.

Enter the big tool in our digital toolbox, the MetropolisHastingsRandomWalkSamplerÃ¢ÂÂfrom our virtual construction kit, littleballoffur. This handy gizmo is like a subcontractor who knows exactly how to navigate the building plans, figuring out which rooms to pick while sticking to our guidelines.

So here's what we're laying out: We need to use this MetropolisHastingsRandomWalkSampler to sift through our graph from 'littleballoffur2.sparse6', and cherry-pick a connected subgraphÃ¢ÂÂa contiguous selection of rooms, if you willÃ¢ÂÂthat's got the exact number of nodesÃ¢ÂÂjust like the precise count of roomsÃ¢ÂÂwe've got our eye on. And yup, we've also got to keep it all above board by following some specific rejection constraintsÃ¢ÂÂthose pesky regulations that keep us from simply bulldozing through.

If it was a .gml file, folks could refer to it as 'littleballoffur2.gml', but since it's a sparse6 file, that's the name we'll run with. Now, can you lay out the steps we'd take to get a hold of this connected subgraph with our MetropolisHastings buddy, while keeping all these rules in check?
### Response:
import networkx as nx
from littleballoffur import MetropolisHastingsRandomWalkSampler
G = nx.read_sparse6('littleballoffur2.sparse6')
sampler = MetropolisHastingsRandomWalkSampler(number_of_nodes=10, seed=42, alpha=0.5)
sampler_G = sampler.sample(G)
print(sampler_G.edges(), sampler_G.nodes())
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