code: def make_env_from_hydra(
      config_module: str,
      config_name: str = None,
      **hydra_overrides: str,
  ) -> MazeEnv:
      """Create an environment instance from the hydra configuration, given the overrides.
      :param config_module: Python module path of the hydra configuration package
      :param config_name: Name of the defaults configuration yaml within `config_module`
      :param hydra_overrides: Overrides as kwargs, e.g. env="cartpole", configuration="test"
      :return: The newly instantiated environment
      """
      cfg = read_hydra_config(
          config_module, config_name, **hydra_overrides
      )
      env_factory = EnvFactory(
          cfg.env, cfg.wrappers if "wrappers" in cfg else {}
      )
      return env_factory()
  
imports: import os
  from pathlib import Path
  from typing import Mapping, Union, Sequence
  import hydra
  import yaml
  from hydra import initialize_config_module, compose
  from hydra.core.hydra_config import HydraConfig
  from omegaconf import DictConfig
  from maze.core.agent.serialized_torch_policy import SerializedTorchPolicy
  from maze.core.env.maze_env import MazeEnv
  from maze.core.utils.factory import Factory, ConfigType, CollectionOfConfigType
  from maze.core.wrappers.wrapper_factory import WrapperFactory
label_desc: Use image node_id 6 for calling a global function with example usage: make_env_from_hydra(config_module, config_name) and returns: env_factory