code: def regressionFileWrapper(inputFile, model_type, model_name):
      if not os.path.isfile(inputFile):
          raise Exception("Input audio file not found!")
  
      R, regressionNames = aT.file_regression(
          inputFile, model_name, model_type
      )
      for i in range(len(R)):
          print("{0:s}\t{1:.3f}".format(regressionNames[i], R[i]))
  
imports: from __future__ import print_function
  import argparse
  import os
  import numpy
  import glob
  import matplotlib.pyplot
  import ShortTermFeatures
  import MidTermFeatures
  import audioTrainTest
  import audioSegmentation
  import audioVisualization
  import audioBasicIO
  import scipy.io.wavfile
  import matplotlib.patches
label_desc: Use image node_id 12 for calling a global function with example usage: regressionFileWrapper(inputFile, model_type, model_name) without return types