code: def setUpClass(cls):
      cls.batch_size = 16
  
      cls.vocab_size = 20
      cls.embedding_size = 32
      cls.dec_seq_length = 5
      cls.trainX = np.random.randint(20, size=(50, 6))
      cls.trainY = np.random.randint(
          20, size=(50, cls.dec_seq_length + 1)
      )
      cls.trainY[:, 0] = 0  # start_token == 0
  
      # Parameters
      cls.src_len = len(cls.trainX)
      cls.tgt_len = len(cls.trainY)
  
      assert cls.src_len == cls.tgt_len
  
      cls.num_epochs = 100
      cls.n_step = cls.src_len // cls.batch_size
  
file_path: TensorLayer/tests/models/test_seq2seq_model.py
imports: import os
  import unittest
  import numpy
  import tensorflow
  from sklearn.utils import shuffle
  from tqdm import tqdm
  import tensorlayer
  from tensorlayer.cost import cross_entropy_seq
  from tensorlayer.models.seq2seq import Seq2seq
  from tests.utils import CustomTestCase
label_desc: Use image node_id 1 for calling the Model_SEQ2SEQ_Test obj's underlying member method code with example usage: obj.setUpClass(cls) without return types