code: def gym_space_from_dict(d: Dict) -> gym.spaces.Space:
      """De-serialize a dict into gym Space.
  
      Args:
          str: serialized JSON str.
  
      Returns:
          De-serialized gym space.
      """
  
      def __common(d: Dict):
          """Common updates to the dict before we use it to construct spaces"""
          ret = d.copy()
          del ret["space"]
          if "dtype" in ret:
              ret["dtype"] = np.dtype(ret["dtype"])
          return ret
  
      def _box(d: Dict) -> gym.spaces.Box:
          ret = d.copy()
          ret.update(
              {
                  "low": _deserialize_ndarray(d["low"]),
                  "high": _deserialize_ndarray(d["high"]),
              }
          )
          return gym.spaces.Box(**__common(ret))
  
      def _discrete(d: Dict) -> gym.spaces.Discrete:
          return gym.spaces.Discrete(**__common(d))
  
      def _multi_binary(d: Dict) -> gym.spaces.MultiBinary:
          return gym.spaces.MultiBinary(**__common(d))
  
      def _multi_discrete(d: Dict) -> gym.spaces.MultiDiscrete:
          ret = d.copy()
          ret.update(
              {
                  "nvec": _deserialize_ndarray(ret["nvec"]),
              }
          )
          return gym.spaces.MultiDiscrete(**__common(ret))
  
      def _tuple(d: Dict) -> gym.spaces.Discrete:
          spaces = [gym_space_from_dict(sp) for sp in d["spaces"]]
          return gym.spaces.Tuple(spaces=spaces)
  
      def _dict(d: Dict) -> gym.spaces.Discrete:
          # We need to always use an OrderedDict here to cover the following two ways, by
          # which a user might construct a Dict space originally. We need to restore this
          # original Dict space with the exact order of keys the user intended to.
          # - User provides an OrderedDict inside the gym.spaces.Dict constructor ->
          #  gymnasium should NOT further sort the keys. The same (user-provided) order
          #  must be restored.
          # - User provides a simple dict inside the gym.spaces.Dict constructor ->
          #  By its API definition, gymnasium automatically sorts all keys alphabetically.
          #  The same (alphabetical) order must thus be restored.
          spaces = OrderedDict(
              {
                  k: gym_space_from_dict(sp)
                  for k, sp in d["spaces"].items()
              }
          )
          return gym.spaces.Dict(spaces=spaces)
  
      def _simplex(d: Dict) -> Simplex:
          return Simplex(**__common(d))
  
      def _repeated(d: Dict) -> Repeated:
          child_space = gym_space_from_dict(d["child_space"])
          return Repeated(child_space=child_space, max_len=d["max_len"])
  
      def _flex_dict(d: Dict) -> FlexDict:
          spaces = {
              k: gym_space_from_dict(s)
              for k, s in d.items()
              if k != "space"
          }
          return FlexDict(spaces=spaces)
  
      def _text(d: Dict) -> "gym.spaces.Text":
          return gym.spaces.Text(**__common(d))
  
      space_map = {
          "box": _box,
          "discrete": _discrete,
          "multi-binary": _multi_binary,
          "multi-discrete": _multi_discrete,
          "tuple": _tuple,
          "dict": _dict,
          "simplex": _simplex,
          "repeated": _repeated,
          "flex_dict": _flex_dict,
          "text": _text,
      }
  
      space_type = d["space"]
      if space_type not in space_map:
          raise ValueError(
              "Unknown space type for de-serialization, ", space_type
          )
  
      return space_map[space_type](d)
  
imports: import base64
  from collections import OrderedDict
  import importlib
  import io
  import zlib
  from typing import Any, Dict, Optional, Sequence, Type, Union
  import numpy
  import ray
  from ray.rllib.utils.annotations import DeveloperAPI
  from ray.rllib.utils.gym import try_import_gymnasium_and_gym
  from ray.rllib.utils.error import NotSerializable
  from ray.rllib.utils.spaces.flexdict import FlexDict
  from ray.rllib.utils.spaces.repeated import Repeated
  from ray.rllib.utils.spaces.simplex import Simplex
label_desc: Use image node_id 6 for calling a global function with example usage: gym_space_from_dict(d) and returns: space_map, ret, gym, gym, gym, gym, gym, gym, Simplex, Repeated, FlexDict, gym