code: def combine_configs_for_sequence_combiner(
      explored: Deque[Tuple], config: ModelConfigDict
  ) -> List[Tuple[ModelConfigDict, pd.DataFrame]]:
      """Merge base config with explored sections.
  
      Uses the right reduce_output strategy for the sequence and sequence_concat combiners.
  
      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
              )
              for i in range(len(merged_config["input_features"])):
                  if merged_config["input_features"][i]["type"] in {
                      SEQUENCE,
                      TEXT,
                      TIMESERIES,
                  }:
                      merged_config["input_features"][0]["encoder"] = {
                          "type": "embed",
                          "reduce_output": None,
                      }
              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 10 for calling a global function with example usage: combine_configs_for_sequence_combiner(explored, config) and returns: ret