code: def utterance_prior():
      utterances = [
          "some of the blond people are nice",
          "all of the blond people are nice",
          "none of the blond people are nice",
      ]
      ix = pyro.sample(
          "utterance", dist.Categorical(torch.ones(3) / 3.0)
      )
      return utterances[ix]
  
imports: import argparse
  import collections
  import torch
  from search_inference import BestFirstSearch, HashingMarginal, memoize
  import pyro
  import pyro.distributions
label_desc: Use image node_id 14 for calling a global function with example usage: utterance_prior() and returns: utterances