code: def h3_to_list(h3_int):
      components = h3_to_components(h3_int)
      header = [
          components.mode,
          components.edge,
          components.resolution,
          components.base_cell,
      ]
      cells_padding = [H3_PADDING_VALUE] * (
          MAX_H3_RESOLUTION - len(components.cells)
      )
      return header + components.cells + cells_padding
  
imports: import logging
  from typing import List
  import numpy
  import torch
  from ludwig.constants import COLUMN, H3, PROC_COLUMN
  from ludwig.features.base_feature import BaseFeatureMixin, InputFeature
  from ludwig.schema.features.h3_feature import H3InputFeatureConfig
  from ludwig.types import FeatureMetadataDict, ModelConfigDict, PreprocessingConfigDict, TrainingSetMetadataDict
  from ludwig.utils.h3_util import h3_to_components
  from ludwig.utils.types import TorchscriptPreprocessingInput
label_desc: Use image node_id 4 for calling the H3FeatureMixin obj's underlying member method code with example usage: obj.h3_to_list(h3_int) and returns: unknown