code: def test_casting(self):
      image_url_dir = current_file_dir + "/images/nested"
      sf = image_analysis.load_images(image_url_dir, "auto", True, True)
      sa = sf["image"]
      sa_vec = sa.astype(array.array)
      sa_img = sa_vec.pixel_array_to_image(
          sa[0].width, sa[0].height, sa[0].channels
      )
      sa_str = sa.astype(str)
      sa_str_expected = (
          "Height: " + str(sa[0].height) + " Width: " + str(sa[0].width)
      )
      decoded_image = image_analysis._decode(sa[0])
      self.assertEqual(sa_img[0].height, sa[0].height)
      self.assertEqual(sa_img[0].width, sa[0].width)
      self.assertEqual(sa_img[0].channels, sa[0].channels)
      self.assertEqual(
          sa_img[0]._image_data_size, decoded_image._image_data_size
      )
      self.assertEqual(sa_img[0]._image_data, decoded_image._image_data)
      self.assertEqual(sa_str[0], sa_str_expected)
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import array
  import unittest
  from PIL import Image
  import os
  from ..data_structures import image
  from ..None import SArray
  from ..toolkits.image_analysis import image_analysis
  from ..toolkits._main import ToolkitError
  from .._deps import numpy, HAS_NUMPY
label_desc: Use image node_id 9 for calling the ImageClassTest obj's underlying member method code with example usage: obj.test_casting() without return types