code: def _get_random_picture(height=None, width=None, channels=None):
      """Returns random picture as np.ndarray (int)."""
      height = height or random.randrange(
          MIN_HEIGHT_WIDTH, MAX_HEIGHT_WIDTH
      )
      width = width or random.randrange(
          MIN_HEIGHT_WIDTH, MAX_HEIGHT_WIDTH
      )
      channels = channels or random.randrange(1, 4)
      return np.random.randint(
          256, size=(height, width, channels), dtype=np.uint8
      )
  
file_path: datasets/tensorflow_datasets/testing/fake_data_generation/sun397.py
imports: import io
  import os
  import random
  import tarfile
  import tempfile
  from absl import app
  from absl import flags
  import md5
  import numpy
  from tensorflow_datasets.core import utils
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling a global function with example usage: _get_random_picture(height, width, channels) and returns: np