code: def test_unique():
      logger = Logger(None, is_dummy=True)
      for step in range(1, 3):
          # names that normalize to the same valid name
          logger.log_value("A v/1", step, step)
          logger.log_value("A\tv/1", step * 2, step)
          logger.log_value("A  v/1", step * 3, step)
      assert dict(logger.dummy_log) == {
          "A_v/1": [(1, 1), (2, 2)],
          "A_v/1/1": [(1, 2), (2, 4)],
          "A_v/1/2": [(1, 3), (2, 6)],
      }
  
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 6 for calling a global function with example usage: test_unique() without return types