code: def read_hydra_config(
      config_module: str,
      config_name: str = None,
      **hydra_overrides: str,
  ) -> DictConfig:
      """Read and assemble a hydra config, given the config module, name, and overrides.
  
      :param config_module: Python module path of the hydra configuration package
      :param config_name: Name of the defaults configuration yaml file within `config_module`
      :param hydra_overrides: Overrides as kwargs, e.g. env="cartpole", configuration="test"
      :return: Hydra DictConfig instance, assembled according to the given module, name, and overrides.
      """
      with initialize_config_module(config_module):
          cfg = compose(
              config_name,
              overrides=[
                  key + "=" + value
                  for key, value in hydra_overrides.items()
              ],
          )
  
      return cfg
  
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 5 for calling a global function with example usage: read_hydra_config(config_module, config_name) and returns: cfg