code: def update_config_with_metadata(
      feature_config, feature_metadata, *args, **kwargs
  ):
      pass
  
imports: import logging
  from datetime import date, datetime
  from typing import Dict, List
  import numpy
  import torch
  from ludwig.constants import COLUMN, DATE, PROC_COLUMN
  from ludwig.features.base_feature import BaseFeatureMixin, InputFeature
  from ludwig.schema.features.date_feature import DateInputFeatureConfig
  from ludwig.types import FeatureConfigDict, FeatureMetadataDict, ModelConfigDict, PreprocessingConfigDict, TrainingSetMetadataDict
  from ludwig.utils.date_utils import create_vector_from_datetime_obj, parse_datetime
  from ludwig.utils.types import DataFrame, TorchscriptPreprocessingInput
label_desc: Use image node_id 6 for calling the DateInputFeature obj's underlying member method code with example usage: obj.update_config_with_metadata(feature_config, feature_metadata) without return types