code: def check_sample_ratio_and_size_compatible(
      config: "ModelConfig",
  ) -> None:
      sample_ratio = config.preprocessing.sample_ratio
      sample_size = config.preprocessing.sample_size
      if sample_size is not None and sample_ratio < 1.0:
          raise ConfigValidationError(
              "sample_size cannot be used when sample_ratio < 1.0"
          )
  
imports: from abc import ABC, abstractmethod
  from re import findall
  from typing import Callable, TYPE_CHECKING
  from transformers import AutoConfig
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import AUDIO, BINARY, CATEGORY, IMAGE, IN_MEMORY, MIN_QUANTIZATION_BITS_FOR_MERGE_AND_UNLOAD, MODEL_ECD, MODEL_GBM, MODEL_LLM, NUMBER, SEQUENCE, SET, TEXT, TIMESERIES, VECTOR
  from ludwig.error import ConfigValidationError
  from ludwig.utils.metric_utils import get_feature_to_metric_names_map_from_feature_collection
  from ludwig.utils.misc_utils import merge_dict
label_desc: Use image node_id 36 for calling a global function with example usage: check_sample_ratio_and_size_compatible(config) without return types