class_docstr: Perform fuzzy matching against a translation memory and
  augment source examples with target matches for Neural Fuzzy Repair.
  :cite:`bulte-tezcan-2019-neural`
class_docstr_tok: ["Perform","fuzzy","matching","against","a","translation","memory","and","augment","source","examples","with","target","matches","for","Neural","Fuzzy","Repair",".",":","cite",":","`","bulte-tezcan-2019-neural","`"]
code: def apply(self, example, is_train=False, stats=None, **kwargs):
      return example
  
imports: from onmt.utils.logging import logger
  from onmt.transforms import register_transform
  from .transform import Transform
  from rapidfuzz import fuzz, process
  import numpy
  import time
label_desc: Use image node_id 6 for calling the FuzzyMatchTransform obj's underlying member method code with example usage: obj.apply(example, is_train, stats) and returns: example