code: def search(self, doc: str, threshold: int = 0) -> List[int]:  # type: ignore[override]
      matching_docs = Levenshtein_search.lookup(
          self.index_key, doc, threshold
      )
      if matching_docs:
          return [
              self._doc_to_id[match] for match, _, _ in matching_docs
          ]
      else:
          return []
  
file_path: dedupe/dedupe/levenshtein.py
imports: from typing import Dict, List
  import Levenshtein_search
  from .core import Enumerator
  from .index import Index
label_desc: Use image node_id 5 for calling the LevenshteinIndex obj's underlying member method code with example usage: obj.search(doc, threshold) and returns: unknown, list