code: def algo_from_pickle(
      pkl_filename: str,
      template_path: PathLike | None = None,
      **kwargs: Any,
  ) -> Any:
      """
      Import the Algo object from a pickle file.
  
      Args:
          pkl_filename: the name of the pickle file.
          template_path: a folder containing files to instantiate the Algo. Besides the `template_path`,
          this function will also attempt to use the `template_path` saved in the pickle file and a directory
          named `algorithm_templates` in the parent folder of the folder containing the pickle file.
  
      Returns:
          algo: the Algo object saved in the pickle file.
          algo_meta_data: additional keyword saved in the pickle file, for example, acc/best_metrics.
  
      Raises:
          ValueError if the pkl_filename does not contain a dict, or the dict does not contain `algo_bytes`.
          ModuleNotFoundError if it is unable to instantiate the Algo class.
  
      """
      with open(pkl_filename, "rb") as f_pi:
          data_bytes = f_pi.read()
      data = pickle.loads(data_bytes)
  
      if not isinstance(data, dict):
          raise ValueError(
              f"the data object is {data.__class__}. Dict is expected."
          )
  
      if "algo_bytes" not in data:
          raise ValueError(
              f"key [algo_bytes] not found in {data}. Unable to instantiate."
          )
  
      algo_bytes = data.pop("algo_bytes")
      algo_template_path = data.pop("template_path", None)
  
      template_paths_candidates: list[str] = []
  
      if os.path.isdir(str(template_path)):
          template_paths_candidates.append(
              os.path.abspath(str(template_path))
          )
          template_paths_candidates.append(
              os.path.abspath(os.path.join(str(template_path), ".."))
          )
  
      if os.path.isdir(str(algo_template_path)):
          template_paths_candidates.append(
              os.path.abspath(algo_template_path)
          )
          template_paths_candidates.append(
              os.path.abspath(os.path.join(algo_template_path, ".."))
          )
  
      pkl_dir = os.path.dirname(pkl_filename)
      algo_template_path_fuzzy = os.path.join(
          pkl_dir, "..", "algorithm_templates"
      )
  
      if os.path.isdir(algo_template_path_fuzzy):
          template_paths_candidates.append(
              os.path.abspath(algo_template_path_fuzzy)
          )
  
      if len(template_paths_candidates) == 0:
          # no template_path provided or needed
          algo = pickle.loads(algo_bytes)
          algo.template_path = None
      else:
          for i, p in enumerate(template_paths_candidates):
              try:
                  sys.path.append(p)
                  algo = pickle.loads(algo_bytes)
                  break
              except ModuleNotFoundError as not_found_err:
                  logging.debug(
                      f"Folder {p} doesn't contain the Algo templates for Algo instantiation."
                  )
                  sys.path.pop()
                  if i == len(template_paths_candidates) - 1:
                      raise ValueError(
                          f"Failed to instantiate {pkl_filename} with {template_paths_candidates}"
                      ) from not_found_err
          algo.template_path = p
  
      if os.path.abspath(pkl_dir) != os.path.abspath(
          algo.get_output_path()
      ):
          logging.debug(
              f"{algo.get_output_path()} is changed. Now override the Algo output_path with: {pkl_dir}."
          )
          algo.output_path = pkl_dir
  
      algo_meta_data = {}
      for k, v in data.items():
          algo_meta_data.update({k: v})
  
      return algo, algo_meta_data
  
imports: from __future__ import annotations
  import logging
  import os
  import pickle
  import subprocess
  import sys
  from copy import deepcopy
  from numbers import Number
  from typing import Any, cast
  import numpy
  import torch
  from monai.auto3dseg import Algo
  from monai.bundle.config_parser import ConfigParser
  from monai.bundle.utils import ID_SEP_KEY
  from monai.config import PathLike
  from monai.data.meta_tensor import MetaTensor
  from monai.transforms import CropForeground, ToCupy
  from monai.utils import min_version, optional_import, run_cmd
label_desc: Use image node_id 9 for calling a global function with example usage: algo_from_pickle(pkl_filename, template_path) and returns: algo,  algo_meta_data