code: def combine_configs_for_comparator_combiner(
      explored: Deque[Tuple], config: ModelConfigDict
  ) -> List[Tuple[ModelConfigDict, pd.DataFrame]]:
      """Merge base config with explored sections.
  
      Completes the entity_1 and entity_2 paramters of the comparator combiner.
  
      Args:
          explored: deque containing all the config options.
          config: base Ludwig config to merge the explored configs with.
      """
      dataset = build_synthetic_dataset_df(
          NUM_SYNTHETIC_EXAMPLES, config
      )
      ret = []
      for item in explored:
          for default_config in generate_possible_configs(
              config_options=item[0]
          ):
              merged_config = merge_dict(
                  copy.deepcopy(config), default_config
              )
  
              # create two random lists for entity1 and entity2
              entity_names = [
                  feature["name"]
                  for feature in config["input_features"]
              ]
              random.shuffle(entity_names)
              entity_1_size = random.randint(1, len(entity_names) - 1)
              merged_config["combiner"]["entity_1"] = entity_names[
                  :entity_1_size
              ]
              merged_config["combiner"]["entity_2"] = entity_names[
                  entity_1_size:
              ]
              try:
                  ModelConfig.from_dict(merged_config)
                  ret.append((merged_config, dataset))
              except Exception:
                  pass
      return ret
  
imports: import copy
  import random
  from collections import deque, namedtuple
  from typing import Any, Deque, Dict, List, Tuple, Union
  import pandas
  from ludwig.config_sampling.parameter_sampling import handle_property_type, ParameterBaseTypes
  from ludwig.constants import SEQUENCE, TEXT, TIMESERIES
  from ludwig.data.dataset_synthesizer import build_synthetic_dataset_df
  from ludwig.schema.model_types.base import ModelConfig
  from ludwig.types import ModelConfigDict
  from ludwig.utils.misc_utils import merge_dict
label_desc: Use image node_id 9 for calling a global function with example usage: combine_configs_for_comparator_combiner(explored, config) and returns: ret