code: def did_you_mean(keyword, keyword_pool):
      candidates = list(keyword_pool)
      closest_match_idx = np.argmin(
          [
              edit_distance(keyword, candidate)
              for candidate in candidates
          ]
      )
      return candidates[closest_match_idx]
  
imports: import logging
  import os
  import os.path
  import warnings
  from collections import namedtuple
  from functools import lru_cache
  import numpy
  from nltk.metrics.distance import edit_distance
  import finetune
  from finetune.errors import FinetuneError
  from finetune.base_models import RoBERTa
  import tensorflow
label_desc: Use image node_id 3 for calling a global function with example usage: did_you_mean(keyword, keyword_pool) and returns: candidates