code: def get_random_image(height, width):
      random_array = np.random.randint(
          0, 256, (height, width, 3), dtype=np.uint8
      )
      return PIL.Image.fromarray(random_array)
  
imports: import unittest
  import datasets
  import numpy
  import pytest
  from transformers import is_torch_available, is_vision_available
  from transformers.image_utils import ChannelDimension, get_channel_dimension_axis
  from transformers.testing_utils import require_torch, require_vision
label_desc: Use image node_id 1 for calling a global function with example usage: get_random_image(height, width) and returns: PIL