code: def encode_one_hot(self, feat: int, cardinality: int) -> List[int]:
      result = [0] * cardinality
      result[feat] = 1
      return result
  
imports: import concurrent.futures
  import logging
  from enum import Enum
  from itertools import chain, starmap
  from typing import Dict, List, Tuple, Union, Optional, Sequence
  import numpy
  from gluonts.core.component import validated
label_desc: Use image node_id 3 for calling the PreprocessOnlyLagFeatures obj's underlying member method code with example usage: obj.encode_one_hot(feat, cardinality) and returns: result