code: def __post_init_post_parse__(self):
      super().__post_init_post_parse__()
      assert (
          self.slate_size > 0
      ), f"Please set valid slate_size (currently {self.slate_size})"
      assert (
          self.num_candidates > 0
      ), f"Please set valid num_candidates (currently {self.num_candidates})"
      self.eval_parameters = self.trainer_param.evaluation
  
file_path: ReAgent/reagent/model_managers/ranking/slate_q.py
imports: import logging
  from typing import Dict, Optional
  import torch
  from reagent.core.dataclasses import dataclass, field
  from reagent.core.parameters import NormalizationData, NormalizationKey, param_hash
  from reagent.model_managers.slate_q_base import SlateQBase
  from reagent.net_builder.parametric_dqn.fully_connected import FullyConnected
  from reagent.net_builder.unions import ParametricDQNNetBuilder__Union
  from reagent.training import ReAgentLightningModule, SlateQTrainer, SlateQTrainerParameters
  from reagent.workflow.types import RewardOptions
label_desc: Use image node_id 1 for calling the SlateQ obj's underlying member method code with example usage: obj.__post_init_post_parse__() without return types