code: def contains_grid_search_parameters(
      hyperopt_config: HyperoptConfigDict,
  ) -> bool:
      """Returns True if any hyperopt parameter in the config is using the grid_search space."""
      for _, param_info in hyperopt_config[PARAMETERS].items():
          if param_info.get(SPACE, None) == GRID_SEARCH:
              return True
      return False
  
imports: import copy
  import logging
  import sys
  import warnings
  from typing import Any, Dict, List, Mapping, Set, TYPE_CHECKING
  from marshmallow import ValidationError
  from transformers import AutoConfig
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import CATEGORY, COMBINED, DECODER, DEFAULTS, ENCODER, GRID_SEARCH, INPUT_FEATURES, LOSS, MODEL_ECD, MODEL_LLM, OUTPUT_FEATURES, PARAMETERS, PREPROCESSING, SEQUENCE, SPACE, TEXT, TYPE
  from ludwig.features.feature_utils import compute_feature_hash
  from ludwig.schema.features.utils import output_config_registry
  from ludwig.schema.hyperopt.scheduler import BaseHyperbandSchedulerConfig
  from ludwig.schema.llms.generation import LLMGenerationConfig
  from ludwig.schema.trainer import ECDTrainerConfig
  from ludwig.types import HyperoptConfigDict, ModelConfigDict
  from ludwig.utils.data_utils import get_sanitized_feature_name
  from ludwig.utils.llm_utils import get_context_len
label_desc: Use image node_id 17 for calling a global function with example usage: contains_grid_search_parameters(hyperopt_config) and returns: False, True