code: def get_hashed_combo_path(
      root_dir: str,
      subdir: str,
      task: str,
      combos: Iterable[Union[List[str], Tuple[str, str]]],
  ) -> str:
      """
      Return a unique path for the given combinations of models.
  
      :param root_dir: root save directory
      :param subdir: immediate subdirectory of root_dir
      :param task: the ParlAI task being considered
      :param combos: the combinations of models being compared
      """
  
      # Sort the names in each combo, as well as the overall combos
      sorted_combos = []
      for combo in combos:
          assert len(combo) == 2
          sorted_combos.append(tuple(sorted(combo)))
      sorted_combos = sorted(sorted_combos)
  
      os.makedirs(os.path.join(root_dir, subdir), exist_ok=True)
      path = os.path.join(
          root_dir,
          subdir,
          hashlib.sha1(
              "___and___".join(
                  [
                      f"{m1}vs{m2}.{task.replace(':', '_')}"
                      for m1, m2 in sorted_combos
                  ]
              ).encode("utf-8")
          ).hexdigest()[:10],
      )
      return path
  
imports: import hashlib
  import os
  from typing import Iterable, List, Optional, Tuple, Union
  import pandas
  from pytest_regressions.data_regression import DataRegressionFixture
  from pytest_regressions.dataframe_regression import DataFrameRegressionFixture
  from pytest_regressions.file_regression import FileRegressionFixture
  from parlai.crowdsourcing.utils.tests import AbstractOneTurnCrowdsourcingTest
label_desc: Use image node_id 1 for calling a global function with example usage: get_hashed_combo_path(root_dir, subdir, task, combos) and returns: path