code: def run_all(logdir, verbose=False):
      """Run simulations on a reasonable set of parameters.
  
      Arguments:
        logdir: the directory into which to store all the runs' data
        verbose: if true, print out each run's name as it begins
      """
      for initial_temperature in [270.0, 310.0, 350.0]:
          for ambient_temperature in [270.0, 310.0, 350.0]:
              for heat_coefficient in [0.001, 0.005]:
                  run_name = "t0=%g,tA=%g,kH=%g" % (
                      initial_temperature,
                      ambient_temperature,
                      heat_coefficient,
                  )
                  if verbose:
                      print("--- Running: %s" % run_name)
                  writer = tf.summary.create_file_writer(
                      os.path.join(logdir, run_name)
                  )
                  # Arguments wrapped in tf.constant to prevent unwanted
                  # retracing.  See retracing logic details at
                  # https://www.tensorflow.org/guide/function
                  run(
                      writer,
                      tf.constant(initial_temperature),
                      tf.constant(ambient_temperature),
                      tf.constant(heat_coefficient),
                  )
  
imports: import os.path
  from absl import app
  import tensorflow
label_desc: Use image node_id 3 for calling a global function with example usage: run_all(logdir, verbose) without return types