code: def test_to_pil_image_from_mask(self):
      # Make sure binary mask remains a binary mask
      image = np.random.randint(0, 2, (3, 4, 5)).astype(np.uint8)
      pil_image = to_pil_image(image)
      self.assertIsInstance(pil_image, PIL.Image.Image)
      self.assertEqual(pil_image.size, (5, 4))
  
      np_img = np.asarray(pil_image)
      self.assertTrue(np_img.min() == 0)
      self.assertTrue(np_img.max() == 1)
  
      image = np.random.randint(0, 2, (3, 4, 5)).astype(np.float32)
      pil_image = to_pil_image(image)
      self.assertIsInstance(pil_image, PIL.Image.Image)
      self.assertEqual(pil_image.size, (5, 4))
  
      np_img = np.asarray(pil_image)
      self.assertTrue(np_img.min() == 0)
      self.assertTrue(np_img.max() == 1)
  
imports: import unittest
  import numpy
  from parameterized import parameterized
  from transformers.testing_utils import require_flax, require_tf, require_torch, require_vision
  from transformers.utils.import_utils import is_flax_available, is_tf_available, is_torch_available, is_vision_available
label_desc: Use image node_id 3 for calling the ImageTransformsTester obj's underlying member method code with example usage: obj.test_to_pil_image_from_mask() without return types