code: def output_triplets(self, triplet_batch, label_batch):
      label_batch = np.asarray(label_batch)
      return tuple([*triplet_batch]), tuple([label_batch] * 2)
  
imports: from abc import ABC, abstractmethod
  from functools import partial
  import itertools
  import random
  import math
  import numpy
  from tensorflow.keras.utils import Sequence
  from scipy.sparse import issparse
  from ..data import get_uint_ctype
label_desc: Use image node_id 3 for calling the SupervisedTripletGenerator obj's underlying member method code with example usage: obj.output_triplets(triplet_batch, label_batch) and returns: tuple,  tuple