code: def date_to_list(
      date_value, datetime_format, preprocessing_parameters
  ):
      try:
          if isinstance(date_value, datetime):
              datetime_obj = date_value
          elif isinstance(date_value, date):
              datetime_obj = datetime.combine(
                  date=date_value, time=datetime.min.time()
              )
          elif (
              isinstance(date_value, str)
              and datetime_format is not None
          ):
              try:
                  datetime_obj = datetime.strptime(
                      date_value, datetime_format
                  )
              except ValueError:
                  datetime_obj = parse_datetime(date_value)
          else:
              datetime_obj = parse_datetime(date_value)
      except Exception as e:
          logger.error(
              f"Error parsing date: '{date_value}' with error '{e}' "
              "Please provide a datetime format that parses it "
              "in the preprocessing section of the date feature "
              "in the config. "
              "The preprocessing fill in value will be used."
              "For more details: "
              "https://ludwig-ai.github.io/ludwig-docs/latest/configuration/features/date_features/#date-features-preprocessing"  # noqa
          )
          fill_value = preprocessing_parameters["fill_value"]
          if fill_value != "":
              datetime_obj = parse_datetime(fill_value)
          else:
              datetime_obj = datetime.now()
  
      return create_vector_from_datetime_obj(datetime_obj)
  
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 4 for calling the DateFeatureMixin obj's underlying member method code with example usage: obj.date_to_list(date_value, datetime_format, preprocessing_parameters) and returns: create_vector_from_datetime_obj