class_docstr: Class for storing lemmas, stems and evaluation metrics.
docstr: :param lemmas: A dictionary where keys are lemmas and values are sets
      or lists of words corresponding to that lemma.
  :param stems: A dictionary where keys are stems and values are sets
      or lists of words corresponding to that stem.
  :type lemmas: dict(str): list(str)
  :type stems: dict(str): set(str)
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code: def __init__(self, lemmas, stems):
      """
      :param lemmas: A dictionary where keys are lemmas and values are sets
          or lists of words corresponding to that lemma.
      :param stems: A dictionary where keys are stems and values are sets
          or lists of words corresponding to that stem.
      :type lemmas: dict(str): list(str)
      :type stems: dict(str): set(str)
      """
      self.lemmas = lemmas
      self.stems = stems
      self.coords = []
      self.gumt, self.gdmt, self.gwmt, self.gdnt = (
          None,
          None,
          None,
          None,
      )
      self.ui, self.oi, self.sw = (None, None, None)
      self.errt = None
      self.update()
  
file_path: nltk/nltk/metrics/paice.py
imports: from math import sqrt
label_desc: Use image node_id 1 to create a new Paice object  with example: obj = Paice(lemmas, stems)