code: def test_smoke_default(tmpdir):
      configure(str(tmpdir), flush_secs=0.1)
      for step in range(10):
          log_value("v1", step * 1.5, step)
          log_value("v2", step**1.5 - 2)
      time.sleep(0.5)
      (tf_log,) = tmpdir.listdir()
      assert tf_log.basename.startswith("events.out.tfevents.")
  
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 1 for calling a global function with example usage: test_smoke_default(tmpdir) without return types