code: def sanitize(x: Any) -> Any:
      """
      Sanitize turns PyTorch and Numpy types into basic Python types so they
      can be serialized into JSON.
      """
      # Import here to avoid circular references
      from allennlp.data.tokenizers import Token
  
      if isinstance(x, (str, float, int, bool)):
          # x is already serializable
          return x
      elif isinstance(x, torch.Tensor):
          # tensor needs to be converted to a list (and moved to cpu if necessary)
          return x.cpu().tolist()
      elif isinstance(x, numpy.ndarray):
          # array needs to be converted to a list
          return x.tolist()
      elif isinstance(x, numpy.number):
          # NumPy numbers need to be converted to Python numbers
          return x.item()
      elif isinstance(x, dict):
          # Dicts need their values sanitized
          return {key: sanitize(value) for key, value in x.items()}
      elif isinstance(x, numpy.bool_):
          # Numpy bool_ need to be converted to python bool.
          return bool(x)
      elif isinstance(x, (spacy.tokens.Token, Token)):
          # Tokens get sanitized to just their text.
          return x.text
      elif isinstance(x, (list, tuple, set)):
          # Lists, tuples, and sets need their values sanitized
          return [sanitize(x_i) for x_i in x]
      elif x is None:
          return "None"
      elif hasattr(x, "to_json"):
          return x.to_json()
      else:
          raise ValueError(
              f"Cannot sanitize {x} of type {type(x)}. "
              "If this is your own custom class, add a `to_json(self)` method "
              "that returns a JSON-like object."
          )
  
imports: import hashlib
  import io
  from datetime import timedelta
  import importlib
  import json
  import logging
  import os
  import pkgutil
  import random
  import sys
  import signal
  from contextlib import contextmanager
  from itertools import islice, zip_longest
  from pathlib import Path
  from typing import Any, Callable, Dict, Generator, Iterable, Iterator, List, Optional, Tuple, TypeVar, Union, Sequence, Set
  import dill
  import numpy
  import spacy
  import torch
  import torch.distributed
  from spacy.cli.download import download
  from spacy.language import Language
  import base58
  from allennlp.common.checks import log_pytorch_version_info
  from allennlp.common.params import Params
label_desc: Use image node_id 1 for calling a global function with example usage: sanitize(x) and returns: x, x, x, x, unknown, bool, x, unknown, str, x