code: def handle_duplications(file_path):
      
      logging.info('Handling duplications for "%s"', file_path)
      f = open_strings_file(file_path, "r+")
      header_comment_key_value_tuples = extract_header_comment_key_value_tuples_from_file(f)
      file_elements = []
      section_file_elements = []
      keys_to_objects = {}
      duplicates_found = []
      for header_comment, comments, key, value in header_comment_key_value_tuples:
          if len(header_comment) > 0:
              # New section - Appending the last section entries, sorted by comment
              for elem in sorted(section_file_elements, key=lambda x: x.comments[0]):
                  file_elements.append(elem)
              section_file_elements = []
              file_elements.append(Comment(header_comment))
  
          if key in keys_to_objects:
              keys_to_objects[key].add_comments(comments)
              duplicates_found.append(key)
          else:
              loc_obj = LocalizationEntry(comments, key, value)
              keys_to_objects[key] = loc_obj
              section_file_elements.append(loc_obj)
  
      # Adding last section
      for elem in sorted(section_file_elements, key=lambda x: x.comments[0]):
          file_elements.append(elem)
  
      f.seek(0)
  
      for element in file_elements:
          f.write(unicode(element))
          f.write(u"\n")
  
      f.truncate()
      f.close()
  
      logging.info("Omitted %d duplicates (%s)" % (len(duplicates_found), ",".join(duplicates_found)))
      logging.info('Finished handling duplications for "%s"', file_path)
docs: Omits the duplications in the strings files.
          Keys that appear more than once, will be joined to one appearance and the omit will be documented.
  
      Args:
          file_path (str): The path to the strings file.