code: def look_up_option(
      opt_str: Hashable,
      supported: Collection | enum.EnumMeta,
      default: Any = "no_default",
      print_all_options: bool = True,
  ) -> Any:
      """
      Look up the option in the supported collection and return the matched item.
      Raise a value error possibly with a guess of the closest match.
  
      Args:
          opt_str: The option string or Enum to look up.
          supported: The collection of supported options, it can be list, tuple, set, dict, or Enum.
          default: If it is given, this method will return `default` when `opt_str` is not found,
              instead of raising a `ValueError`. Otherwise, it defaults to `"no_default"`,
              so that the method may raise a `ValueError`.
          print_all_options: whether to print all available options when `opt_str` is not found. Defaults to True
  
      Examples:
  
      .. code-block:: python
  
          from enum import Enum
          from monai.utils import look_up_option
          class Color(Enum):
              RED = "red"
              BLUE = "blue"
          look_up_option("red", Color)  # <Color.RED: 'red'>
          look_up_option(Color.RED, Color)  # <Color.RED: 'red'>
          look_up_option("read", Color)
          # ValueError: By 'read', did you mean 'red'?
          # 'read' is not a valid option.
          # Available options are {'blue', 'red'}.
          look_up_option("red", {"red", "blue"})  # "red"
  
      Adapted from https://github.com/NifTK/NiftyNet/blob/v0.6.0/niftynet/utilities/util_common.py#L249
      """
      if not isinstance(opt_str, Hashable):
          raise ValueError(
              f"Unrecognized option type: {type(opt_str)}:{opt_str}."
          )
      if isinstance(opt_str, str):
          opt_str = opt_str.strip()
      if isinstance(supported, enum.EnumMeta):
          if isinstance(opt_str, str) and opt_str in {item.value for item in supported}:  # type: ignore
              # such as: "example" in MyEnum
              return supported(opt_str)
          if isinstance(opt_str, enum.Enum) and opt_str in supported:
              # such as: MyEnum.EXAMPLE in MyEnum
              return opt_str
      elif isinstance(supported, Mapping) and opt_str in supported:
          # such as: MyDict[key]
          return supported[opt_str]
      elif isinstance(supported, Collection) and opt_str in supported:
          return opt_str
  
      if default != "no_default":
          return default
  
      # find a close match
      set_to_check: set
      if isinstance(supported, enum.EnumMeta):
          set_to_check = {item.value for item in supported}  # type: ignore
      else:
          set_to_check = (
              set(supported) if supported is not None else set()
          )
      if not set_to_check:
          raise ValueError(f"No options available: {supported}.")
      edit_dists = {}
      opt_str = f"{opt_str}"
      for key in set_to_check:
          edit_dist = damerau_levenshtein_distance(f"{key}", opt_str)
          if edit_dist <= 3:
              edit_dists[key] = edit_dist
  
      supported_msg = (
          f"Available options are {set_to_check}.\n"
          if print_all_options
          else ""
      )
      if edit_dists:
          guess_at_spelling = min(edit_dists, key=edit_dists.get)  # type: ignore
          raise ValueError(
              f"By '{opt_str}', did you mean '{guess_at_spelling}'?\n"
              + f"'{opt_str}' is not a valid value.\n"
              + supported_msg
          )
      raise ValueError(
          f"Unsupported option '{opt_str}', " + supported_msg
      )
  
imports: from __future__ import annotations
  import enum
  import functools
  import os
  import pdb
  import re
  import sys
  import warnings
  from collections.abc import Callable, Collection, Hashable, Mapping
  from functools import partial, wraps
  from importlib import import_module
  from pkgutil import walk_packages
  from pydoc import locate
  from re import match
  from types import FunctionType, ModuleType
  from typing import Any, Iterable, cast
  import torch
label_desc: Use image node_id 1 for calling a global function with example usage: look_up_option(opt_str, supported, default, print_all_options) and returns: default, supported, opt_str, supported, opt_str