class_docstr: Class for creating and setting up fuzzy matchers.
class_docstr_tok: ["Class","for","creating","and","setting","up","fuzzy","matchers","."]
code: def __init__(
      self,
      tm_path,
      corpus_ratio,
      threshold=70,
      tm_delimiter="\t",
      fuzzy_token="｟fuzzy｠",
      tm_unit_min_lentgh=4,
      tm_unit_max_length=70,
  ):
      self.threshold = threshold
      self.corpus_ratio = corpus_ratio
      self.tm_delimiter = tm_delimiter
      self.fuzzy_token = fuzzy_token
      self.tm_unit_min_length = tm_unit_min_lentgh
      self.tm_unit_max_length = tm_unit_max_length
      self.internal_tm = self._create_tm(tm_path)
  
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 1 to create a new FuzzyMatcher object from inherited base classes: object with example: obj = FuzzyMatcher(tm_path, corpus_ratio, threshold, tm_delimiter, fuzzy_token, tm_unit_min_lentgh, tm_unit_max_length)