code: def benchmark(self, sequences, lengths, model, tag):
      elapsed = []
      for i in range(self.repeat):
          start = time.time()
          cloned = sklearn.base.clone(model)
          cloned.fit(sequences, lengths)
          end = time.time()
          elapsed.append(end - start)
          self.log_one_run(start, end, cloned, tag)
      return np.asarray(elapsed)
  
imports: import argparse
  import collections
  import logging
  import time
  import hmmlearn.hmm
  import numpy
  import sklearn.base
label_desc: Use image node_id 2 for calling the Benchmark obj's underlying member method code with example usage: obj.benchmark(sequences, lengths, model, tag) and returns: np