class_docstr: FeatureValue for FeatureStore.
  
  Attributes:
      feature_name (str): name of the Feature.
      value_as_string (str): value of the Feature in string form.
      value_as_string_list (List[str]): value of the Feature in string list
      form used for collection type.
class_docstr_tok: ["FeatureValue","for","FeatureStore",".","Attributes",":","feature_name","(","str",")",":","name","of","the","Feature",".","value_as_string","(","str",")",":","value","of","the","Feature","in","string","form",".","value_as_string_list","(","List","[","str","]",")",":","value","of","the","Feature","in","string","list","form","used","for","collection","type","."]
docstr: Construct a dictionary based on the attributes provided.
  
  Returns:
      dict represents the attributes.
code: def to_dict(self) -> Dict[str, Any]:
      """Construct a dictionary based on the attributes provided.
  
      Returns:
          dict represents the attributes.
      """
      return Config.construct_dict(
          FeatureName=self.feature_name,
          ValueAsString=self.value_as_string,
          ValueAsStringList=self.value_as_string_list,
      )
  
imports: from __future__ import absolute_import
  import abc
  from typing import Dict, Any, List
  from enum import Enum
  import attr
label_desc: Use image node_id 1 for calling the FeatureValue obj's underlying member method code with example usage: obj.to_dict() and returns: Config