code: def __init__(
      self,
      input_feature_config: H3InputFeatureConfig,
      encoder_obj=None,
      **kwargs,
  ):
      super().__init__(input_feature_config, **kwargs)
  
      if encoder_obj:
          self.encoder_obj = encoder_obj
      else:
          self.encoder_obj = self.initialize_encoder(
              input_feature_config.encoder
          )
  
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 1 to create a new H3InputFeature object from inherited base classes: H3FeatureMixin, InputFeature with example: obj = H3InputFeature(input_feature_config, encoder_obj)