code: def log_one_run(self, start, end, model, tag):
      LOG.info(f"Training Took {end-start} seconds {tag}")
      LOG.info(f"startprob={model.startprob_}")
      LOG.info(f"transmat={model.transmat_}")
  
imports: import argparse
  import collections
  import logging
  import time
  import hmmlearn.hmm
  import numpy
  import sklearn.base
label_desc: Use image node_id 6 for calling the Benchmark obj's underlying member method code with example usage: obj.log_one_run(start, end, model, tag) without return types