code: def get_reporter(self):
      return DiscreteDQNReporter(
          self.trainer_param.actions,
          target_action_distribution=self.target_action_distribution,
      )
  
imports: import abc
  import logging
  from dataclasses import replace
  from typing import Dict, List, Optional, Tuple
  from reagent.core import types
  from reagent.core.dataclasses import dataclass, field
  from reagent.core.parameters import EvaluationParameters, NormalizationData, NormalizationKey, RLParameters
  from reagent.data.data_fetcher import DataFetcher
  from reagent.data.manual_data_module import ManualDataModule
  from reagent.data.reagent_data_module import ReAgentDataModule
  from reagent.gym.policies.policy import Policy
  from reagent.gym.policies.predictor_policies import create_predictor_policy_from_model
  from reagent.gym.policies.samplers.discrete_sampler import GreedyActionSampler
  from reagent.gym.policies.scorers.discrete_scorer import discrete_dqn_scorer
  from reagent.model_managers.model_manager import ModelManager
  from reagent.models.model_feature_config_provider import RawModelFeatureConfigProvider
  from reagent.preprocessing.batch_preprocessor import BatchPreprocessor, DiscreteDqnBatchPreprocessor
  from reagent.preprocessing.preprocessor import Preprocessor
  from reagent.preprocessing.types import InputColumn
  from reagent.reporting.discrete_dqn_reporter import DiscreteDQNReporter
  from reagent.training import ReAgentLightningModule
  from reagent.workflow.identify_types_flow import identify_normalization_parameters
  from reagent.workflow.types import Dataset, ModelFeatureConfigProvider__Union, PreprocessingOptions, ReaderOptions, ResourceOptions, RewardOptions, TableSpec
label_desc: Use image node_id 9 for calling the DiscreteDQNBase obj's underlying member method code with example usage: obj.get_reporter() and returns: DiscreteDQNReporter