code: def add_compare_tab(elements, ids, scores_arg):
      """
      Processes tab contents and ids, adding a "Compare" tab if possible
  
      Parameters
      ----------
      elements
          The elements to compare
  
      ids : list
          The IDs for each element
  
      Returns
      -------
      out
          A new set of element to display. It might contain one new element in
          index 0 if we can provide a comparison view
  
      out_ids
          A new set of IDs. It might contain a new ID in index 0 if we can
          provide a comparison view
      """
      out = copy.copy(elements)
      out_ids = copy.copy(ids)
  
      if isinstance(elements[0], (HTML, pd.DataFrame)):
          summary = compare_df(elements, ids, scores_arg)
      elif isinstance(elements[0], Mapping):
          summary = compare_diff(elements)
      # lists with dicts fail because they are not hashable
      elif isinstance(elements[0], (list, set)):
          summary = compare_sets(elements, ids=ids)
      else:
          summary = None
  
      if summary is not None:
          out.insert(0, summary)
          out_ids.insert(0, "Compare")
  
      return out, out_ids
  
imports: from functools import partial
  from difflib import HtmlDiff
  import random
  import string
  import base64
  import copy
  from pathlib import Path
  from collections.abc import Mapping
  import black
  import pandas
  from IPython.display import HTML, Image
  from jinja2 import Environment, PackageLoader
  from .NotebookIntrospector import NotebookIntrospector
  from .sets import differences
  from ..table import Table
  from ..telemetry import SKLearnEvaluationLogger
label_desc: Use image node_id 2 for calling a global function with example usage: add_compare_tab(elements, ids, scores_arg) and returns: out,  out_ids