code: def read_file(self, empty_first=True):
      if empty_first:
          self.clear()
  
      try:
          contents = nltk.data.load(
              self.filename, format="text", encoding=self.file_encoding
          )
          # TODO: the above can't handle zip files, but this should anyway be fixed in nltk.data.load()
      except LookupError as e:
          try:
              contents = nltk.data.load(
                  "file:" + self.filename,
                  format="text",
                  encoding=self.file_encoding,
              )
          except LookupError:
              raise e
      lines = contents.splitlines()
  
      for line in lines:  # example: 'n : (\\x.(<word> x), (v-or))'
          #     lambdacalc -^  linear logic -^
          line = line.strip()  # remove trailing newline
          if not len(line):
              continue  # skip empty lines
          if line[0] == "#":
              continue  # skip commented out lines
  
          parts = line.split(
              " : ", 2
          )  # ['verb', '(\\x.(<word> x), ( subj -o f ))', '[subj]']
  
          glue_formulas = []
          paren_count = 0
          tuple_start = 0
          tuple_comma = 0
  
          relationships = None
  
          if len(parts) > 1:
              for i, c in enumerate(parts[1]):
                  if c == "(":
                      if (
                          paren_count == 0
                      ):  # if it's the first '(' of a tuple
                          tuple_start = i + 1  # then save the index
                      paren_count += 1
                  elif c == ")":
                      paren_count -= 1
                      if (
                          paren_count == 0
                      ):  # if it's the last ')' of a tuple
                          meaning_term = parts[1][
                              tuple_start:tuple_comma
                          ]  # '\\x.(<word> x)'
                          glue_term = parts[1][
                              tuple_comma + 1 : i
                          ]  # '(v-r)'
                          glue_formulas.append(
                              [meaning_term, glue_term]
                          )  # add the GlueFormula to the list
                  elif c == ",":
                      if (
                          paren_count == 1
                      ):  # if it's a comma separating the parts of the tuple
                          tuple_comma = i  # then save the index
                  elif c == "#":  # skip comments at the ends of lines
                      if (
                          paren_count != 0
                      ):  # if the line hasn't parsed correctly so far
                          raise RuntimeError(
                              "Formula syntax is incorrect for entry "
                              + line
                          )
                      break  # break to the next line
  
          if (
              len(parts) > 2
          ):  # if there is a relationship entry at the end
              rel_start = parts[2].index("[") + 1
              rel_end = parts[2].index("]")
              if rel_start == rel_end:
                  relationships = frozenset()
              else:
                  relationships = frozenset(
                      r.strip()
                      for r in parts[2][rel_start:rel_end].split(",")
                  )
  
          try:
              start_inheritance = parts[0].index("(")
              end_inheritance = parts[0].index(")")
              sem = parts[0][:start_inheritance].strip()
              supertype = parts[0][
                  start_inheritance + 1 : end_inheritance
              ]
          except:
              sem = parts[0].strip()
              supertype = None
  
          if sem not in self:
              self[sem] = {}
  
          if (
              relationships is None
          ):  # if not specified for a specific relationship set
              # add all relationship entries for parents
              if supertype:
                  for rels in self[supertype]:
                      if rels not in self[sem]:
                          self[sem][rels] = []
                      glue = self[supertype][rels]
                      self[sem][rels].extend(glue)
                      self[sem][rels].extend(
                          glue_formulas
                      )  # add the glue formulas to every rel entry
              else:
                  if None not in self[sem]:
                      self[sem][None] = []
                  self[sem][None].extend(
                      glue_formulas
                  )  # add the glue formulas to every rel entry
          else:
              if relationships not in self[sem]:
                  self[sem][relationships] = []
              if supertype:
                  self[sem][relationships].extend(
                      self[supertype][relationships]
                  )
              self[sem][relationships].extend(glue_formulas)
  
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 2 for calling the GlueDict obj's underlying member method code with example usage: obj.read_file(empty_first) without return types