code: def fuzzy_string_match(str_ref, str_hyp):
      """Returns fuzzy string similarity score in range [0.0, 1.0].
      Args:
        str_ref: reference string
        str_hyp: hypothesis string
      Returns:
        fuzzy string similarity
      """
  
      # The higher the score, the higher the similarity between the two strings.
      return fuzz.token_sort_ratio(str_ref, str_hyp) / 100.0
  
file_path: NeMo/nemo/collections/nlp/metrics/sgd_metrics.py
imports: import collections
  import numpy
  from rapidfuzz import fuzz
label_desc: Use image node_id 2 for calling a global function with example usage: fuzzy_string_match(str_ref, str_hyp) and returns: unknown