code: def __init__(self, meaning, glue, indices=None):
      if not indices:
          indices = set()
  
      if isinstance(meaning, str):
          self.meaning = drt.DrtExpression.fromstring(meaning)
      elif isinstance(meaning, drt.DrtExpression):
          self.meaning = meaning
      else:
          raise RuntimeError(
              "Meaning term neither string or expression: %s, %s"
              % (meaning, meaning.__class__)
          )
  
      if isinstance(glue, str):
          self.glue = linearlogic.LinearLogicParser().parse(glue)
      elif isinstance(glue, linearlogic.Expression):
          self.glue = glue
      else:
          raise RuntimeError(
              "Glue term neither string or expression: %s, %s"
              % (glue, glue.__class__)
          )
  
      self.indices = indices
  
imports: import os
  from itertools import chain
  import nltk
  from nltk.internals import Counter
  from nltk.sem import drt, linearlogic
  from nltk.sem.logic import AbstractVariableExpression, Expression, LambdaExpression, Variable, VariableExpression
  from nltk.tag import BigramTagger, RegexpTagger, TrigramTagger, UnigramTagger
label_desc: Use image node_id 1 to create a new DrtGlueFormula object from inherited base classes: GlueFormula with example: obj = DrtGlueFormula(meaning, glue, indices)