code: def _int_handler(cell: csv_decoder.CSVCell) -> tf.train.Feature:
      value_list = []
      if cell:
          value_list.append(int(cell))
      return tf.train.Feature(
          int64_list=tf.train.Int64List(value=value_list)
      )
  
imports: import os
  from typing import Any, Dict, Iterable, List
  from absl import logging
  import apache_beam
  import tensorflow
  from tfx.components.example_gen.base_example_gen_executor import BaseExampleGenExecutor
  from tfx.dsl.io import fileio
  from tfx.types import standard_component_specs
  from tfx.utils import io_utils
  from tfx_bsl.coders import csv_decoder
label_desc: Use image node_id 1 for calling a global function with example usage: _int_handler(cell) and returns: tf