code: def combiner_config_generator(
      combiner_type: str, static_schema: Dict[str, Any] = None
  ) -> Tuple[ModelConfigDict, pd.DataFrame]:
      """Generate combinatorial configs for the combiner section of the Ludwig config.
  
      Args:
          combiner_type: combiner type to explore.
      """
      schema = get_schema() if not static_schema else static_schema
      properties = schema["properties"]
  
      raw_entry = deque([ConfigOption(dict(), False)])
      explored = explore_properties(
          properties,
          parent_parameter_path="",
          dq=raw_entry,
          allow_list=["combiner"],
      )
      config = ECD_CONFIG_SECTION_TO_CONFIG[combiner_type]
      config = yaml.safe_load(config)
      config["model_type"] = "ecd"
      config["trainer"] = {"train_steps": 1}
  
      combine_configs_fn = COMBINER_TYPE_TO_COMBINE_FN_MAP[
          combiner_type
      ]
  
      combined_configs = combine_configs_fn(explored, config)
      combined_configs = [
          (config, dataset)
          for config, dataset in combined_configs
          if config["combiner"]["type"] == combiner_type
      ]
      logging.info(
          f"Generated {len(combined_configs)} for {combiner_type} combiner combinatorial tests."
      )
  
      for config, dataset in combined_configs:
          yield config, dataset
  
imports: import logging
  from collections import deque
  from pprint import pprint
  from typing import Any, Dict, Tuple
  import pandas
  import pytest
  import yaml
  from ludwig.api import LudwigModel
  from ludwig.config_sampling.explore_schema import combine_configs, ConfigOption, explore_properties
  from ludwig.config_validation.validation import get_schema
  from ludwig.types import ModelConfigDict
  from .configs import COMBINER_TYPE_TO_COMBINE_FN_MAP, ECD_CONFIG_SECTION_TO_CONFIG, FEATURE_TYPE_TO_CONFIG_FOR_DECODER_LOSS, FEATURE_TYPE_TO_CONFIG_FOR_ENCODER_PREPROCESSING
label_desc: Use image node_id 3 for calling a global function with example usage: combiner_config_generator(combiner_type, static_schema) without return types