code: def setup_late_mixins(
      policy: Policy,
      obs_space: gym.spaces.Space,
      action_space: gym.spaces.Space,
      config: AlgorithmConfigDict,
  ) -> None:
      """Call all mixin classes' constructors before SlateQTorchPolicy initialization.
  
      Args:
          policy: The Policy object.
          obs_space: The Policy's observation space.
          action_space: The Policy's action space.
          config: The Policy's config.
      """
      TargetNetworkMixin.__init__(policy)
  
imports: import logging
  from typing import Dict, Tuple, Type
  import gymnasium
  import numpy
  from rllib_slate_q.slate_q.slateq_torch_model import SlateQTorchModel
  from ray.rllib.models.modelv2 import ModelV2
  from ray.rllib.models.torch.torch_action_dist import TorchCategorical, TorchDistributionWrapper
  from ray.rllib.policy.policy import Policy
  from ray.rllib.policy.policy_template import build_policy_class
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.policy.torch_mixins import TargetNetworkMixin
  from ray.rllib.utils.framework import try_import_torch
  from ray.rllib.utils.torch_utils import apply_grad_clipping, concat_multi_gpu_td_errors, convert_to_torch_tensor, huber_loss
  from ray.rllib.utils.typing import AlgorithmConfigDict, TensorType
label_desc: Use image node_id 10 for calling a global function with example usage: setup_late_mixins(policy, obs_space, action_space, config) without return types