code: def hole_readings(sentence, grammar_filename=None, verbose=False):
      if not grammar_filename:
          grammar_filename = "grammars/sample_grammars/hole.fcfg"
  
      if verbose:
          print("Reading grammar file", grammar_filename)
  
      parser = load_parser(grammar_filename)
  
      # Parse the sentence.
      tokens = sentence.split()
      trees = list(parser.parse(tokens))
      if verbose:
          print("Got %d different parses" % len(trees))
  
      all_readings = []
      for tree in trees:
          # Get the semantic feature from the top of the parse tree.
          sem = tree.label()["SEM"].simplify()
  
          # Print the raw semantic representation.
          if verbose:
              print("Raw:       ", sem)
  
          # Skolemize away all quantifiers.  All variables become unique.
          while isinstance(sem, LambdaExpression):
              sem = sem.term
          skolemized = skolemize(sem)
  
          if verbose:
              print("Skolemized:", skolemized)
  
          # Break the hole semantics representation down into its components
          # i.e. holes, labels, formula fragments and constraints.
          hole_sem = HoleSemantics(skolemized)
  
          # Maybe show the details of the semantic representation.
          if verbose:
              print("Holes:       ", hole_sem.holes)
              print("Labels:      ", hole_sem.labels)
              print("Constraints: ", hole_sem.constraints)
              print("Top hole:    ", hole_sem.top_hole)
              print("Top labels:  ", hole_sem.top_most_labels)
              print("Fragments:")
              for l, f in hole_sem.fragments.items():
                  print(f"\t{l}: {f}")
  
          # Find all the possible ways to plug the formulas together.
          pluggings = hole_sem.pluggings()
  
          # Build FOL formula trees using the pluggings.
          readings = list(map(hole_sem.formula_tree, pluggings))
  
          # Print out the formulas in a textual format.
          if verbose:
              for i, r in enumerate(readings):
                  print()
                  print("%d. %s" % (i, r))
              print()
  
          all_readings.extend(readings)
  
      return all_readings
  
imports: from functools import reduce
  from nltk.parse import load_parser
  from nltk.sem.logic import AllExpression, AndExpression, ApplicationExpression, ExistsExpression, IffExpression, ImpExpression, LambdaExpression, NegatedExpression, OrExpression
  from nltk.sem.skolemize import skolemize
label_desc: Use image node_id 1 for calling a global function with example usage: hole_readings(sentence, grammar_filename, verbose) and returns: all_readings