code: def setup_mid_mixins(
      policy: Policy, obs_space, action_space, config
  ) -> None:
      """Call mixin classes' constructors before SlateQTorchPolicy loss 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.
      """
      LearningRateSchedule.__init__(
          policy, config["lr"], config["lr_schedule"]
      )
  
imports: import functools
  import logging
  from typing import Dict
  import gymnasium
  import numpy
  from rllib_slate_q.slate_q.slateq_tf_model import SlateQTFModel
  from ray.rllib.algorithms.dqn.dqn_tf_policy import clip_gradients
  from ray.rllib.models.modelv2 import ModelV2
  from ray.rllib.models.tf.tf_action_dist import SlateMultiCategorical
  from ray.rllib.policy.policy import Policy
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.policy.tf_mixins import LearningRateSchedule, TargetNetworkMixin
  from ray.rllib.policy.tf_policy_template import build_tf_policy
  from ray.rllib.utils.framework import try_import_tf
  from ray.rllib.utils.tf_utils import huber_loss
  from ray.rllib.utils.typing import AlgorithmConfigDict, TensorType
label_desc: Use image node_id 8 for calling a global function with example usage: setup_mid_mixins(policy, obs_space, action_space, config) without return types