code: def isolate_glossary(word, glossary):
      """
      Isolate a glossary present inside a word.
  
      Returns a list of subwords. In which all 'glossary' glossaries are isolated
  
      For example, if 'USA' is the glossary and '1934USABUSA' the word, the return value is:
          ['1934', 'USA', 'B', 'USA']
      """
      if word == glossary or glossary not in word:
          return [word]
      else:
          splits = word.split(glossary)
          segments = [
              segment.strip()
              for split in splits[:-1]
              for segment in [split, glossary]
              if segment != ""
          ]
          return (
              segments + [splits[-1].strip()]
              if splits[-1] != ""
              else segments
          )
  
imports: from __future__ import unicode_literals, division
  import sys
  import codecs
  import io
  import argparse
  import json
  import re
  from collections import defaultdict
  from io import open
label_desc: Use image node_id 7 for calling a global function with example usage: isolate_glossary(word, glossary) and returns: list, unknown