code: def test_dummy_images():
      logger = Logger(None, is_dummy=True)
      img = np.random.rand(10, 10)
      images = [img, img]
      logger.log_images("key", images, step=1)
      logger.log_images("key", images, step=2)
      logger.log_images("key", images, step=3)
  
      assert dict(logger.dummy_log) == {
          "key": [(1, images), (2, images), (3, images)]
      }
  
file_path: tensorboard_logger/tests/test_tensorboard_logger.py
imports: import time
  import os
  import glob
  import numpy
  from tensorboard_logger import Logger, configure, log_value
  from tensorboard_logger.tensorboard_logger import make_valid_tf_name
label_desc: Use image node_id 10 for calling a global function with example usage: test_dummy_images() without return types