code: def save_hmm(hmm_model_name, model, classes, mid_window, mid_step):
      """Save HMM model"""
      with open(hmm_model_name, "wb") as f_handle:
          cpickle.dump(
              model, f_handle, protocol=cpickle.HIGHEST_PROTOCOL
          )
          cpickle.dump(
              classes, f_handle, protocol=cpickle.HIGHEST_PROTOCOL
          )
          cpickle.dump(
              mid_window, f_handle, protocol=cpickle.HIGHEST_PROTOCOL
          )
          cpickle.dump(
              mid_step, f_handle, protocol=cpickle.HIGHEST_PROTOCOL
          )
  
imports: from __future__ import print_function
  import os
  import csv
  import glob
  import scipy
  import sklearn
  import numpy
  import hmmlearn.hmm
  import sklearn.cluster
  import pickle
  import matplotlib.pyplot
  from scipy.spatial import distance
  import sklearn.discriminant_analysis
  from sklearn.preprocessing import StandardScaler
  import sys
  import pyAudioAnalysis.audioBasicIO
  import pyAudioAnalysis.audioTrainTest
  import pyAudioAnalysis.MidTermFeatures
  import pyAudioAnalysis.ShortTermFeatures
label_desc: Use image node_id 12 for calling a global function with example usage: save_hmm(hmm_model_name, model, classes, mid_window, mid_step) without return types