code: def test_multiple_mlf_binary_files():
      os.chdir(data_path)
  
      feature_dim = 33
      num_classes = 132
      context = 2
  
      features_file = "glob_0000.scp"
      label_files = [
          e2e_data_path + "mlf2.bin",
          e2e_data_path + "mlf2.bin",
      ]
  
      fd = HTKFeatureDeserializer(
          StreamDefs(
              amazing_features=StreamDef(
                  shape=feature_dim,
                  context=(context, context),
                  scp=features_file,
              )
          )
      )
  
      ld = HTKMLFBinaryDeserializer(
          StreamDefs(
              awesome_labels=StreamDef(
                  shape=num_classes, mlf=label_files
              )
          )
      )
  
      # Make sure we can read at least one minibatch.
      mbsource = MinibatchSource([fd, ld])
      mbsource.next_minibatch(1)
  
      os.chdir(abs_path)
  
file_path: CNTK/Tests/EndToEndTests/CNTKv2Python/Examples/htk_deserializer_test.py
imports: import cntk
  from cntk.io import MinibatchSource, HTKFeatureDeserializer, HTKMLFDeserializer, HTKMLFBinaryDeserializer, StreamDef, StreamDefs
  from cntk.layers import Recurrence, Dense, LSTM, Sequential, For
  import os
label_desc: Use image node_id 4 for calling a global function with example usage: test_multiple_mlf_binary_files() without return types