code: def _read_classes(csv_file: str) -> dict:
      """Parse the classes file."""
      result = {}
      with open(csv_file) as csv_reader:
          for line, row in enumerate(csv_reader):
              try:
                  class_name = row.strip()
                  # print(class_id, class_name)
              except ValueError:
                  six.raise_from(
                      ValueError(
                          "line {}: format should be 'class_name'".format(
                              line
                          )
                      ),
                      None,
                  )
  
              class_id = _parse(
                  line,
                  int,
                  "line {}: malformed class ID: {{}}".format(line),
              )
  
              if class_name in result:
                  raise ValueError(
                      "line {}: duplicate class name: '{}'".format(
                          line, class_name
                      )
                  )
              result[class_name] = class_id
      return result
  
imports: import re
  import numpy
  from typing import Dict, List, Optional, Union, Tuple
  import six
  import cv2
  import os
  import paddle
  import paddlehub.vision.transforms
  from PIL import ImageFile
  from auto_augment.autoaug.transform.autoaug_transform import AutoAugTransform
label_desc: Use image node_id 2 for calling a global function with example usage: _read_classes(csv_file) and returns: result