code: def build_sac_model_and_action_dist(
      policy: Policy,
      obs_space: gym.spaces.Space,
      action_space: gym.spaces.Space,
      config: AlgorithmConfigDict,
  ) -> Tuple[ModelV2, Type[TorchDistributionWrapper]]:
      """Constructs the necessary ModelV2 and action dist class for the Policy.
  
      Args:
          policy: The TFPolicy that will use the models.
          obs_space (gym.spaces.Space): The observation space.
          action_space (gym.spaces.Space): The action space.
          config: The SAC's config dict.
  
      Returns:
          ModelV2: The ModelV2 to be used by the Policy. Note: An additional
              target model will be created in this function and assigned to
              `policy.target_model`.
      """
      model = build_rnnsac_model(
          policy, obs_space, action_space, config
      )
      assert (
          model.get_initial_state() != []
      ), "RNNSAC requires its model to be a recurrent one!"
      action_dist_class = _get_dist_class(policy, config, action_space)
      return model, action_dist_class
  
imports: import gymnasium
  import numpy
  from typing import List, Optional, Tuple, Type, Union
  import copy
  import ray
  from ray.rllib.algorithms.dqn.dqn_tf_policy import PRIO_WEIGHTS
  from ray.rllib.algorithms.sac import SACTorchPolicy
  from ray.rllib.algorithms.sac.rnnsac_torch_model import RNNSACTorchModel
  from ray.rllib.algorithms.sac.sac_torch_policy import _get_dist_class
  from ray.rllib.models import ModelCatalog
  from ray.rllib.models.modelv2 import ModelV2
  from ray.rllib.models.torch.torch_action_dist import TorchDistributionWrapper
  from ray.rllib.policy.policy import Policy
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.utils.framework import try_import_torch
  from ray.rllib.utils.torch_utils import huber_loss, sequence_mask
  from ray.rllib.utils.typing import ModelInputDict, TensorType, AlgorithmConfigDict
label_desc: Use image node_id 2 for calling a global function with example usage: build_sac_model_and_action_dist(policy, obs_space, action_space, config) and returns: model,  action_dist_class