code: def distance_hammingword(
      fm_train_dna=traindna,
      fm_test_dna=testdna,
      fm_test_real=testdat,
      order=3,
      gap=0,
      reverse=False,
      use_sign=False,
  ):
      charfeat = sg.create_string_features(fm_train_dna, sg.DNA)
      feats_train = sg.create_string_features(
          charfeat, order - 1, order, gap, reverse
      )
      preproc = sg.create_transformer("SortWordString")
      preproc.fit(feats_train)
      feats_train = preproc.transform(feats_train)
  
      charfeat = sg.create_string_features(fm_test_dna, sg.DNA)
      feats_test = sg.create_string_features(
          charfeat, order - 1, order, gap, reverse
      )
      feats_test = preproc.transform(feats_test)
  
      distance = sg.create_distance(
          "HammingWordDistance", use_sign=use_sign
      )
      distance.init(feats_train, feats_train)
  
      dm_train = distance.get_distance_matrix()
      distance.init(feats_train, feats_test)
      dm_test = distance.get_distance_matrix()
      return distance, dm_train, dm_test
  
label_desc: Use image node_id 1 for calling a global function with example usage: distance_hammingword(fm_train_dna, fm_test_dna, fm_test_real, order, gap, reverse, use_sign) and returns: distance,  dm_train,  dm_test