code: def setUpClass(cls):
      a = tf.constant([[[4, 5, 6], [1, 2, 3]], [[4, 5, 6], [1, 2, 3]]])
  
      b1 = tl.alphas_like(a, 0.5431)
      b2 = tl.alphas_like(a, 5)
      b3 = tl.alphas_like(a, -5)
      b4 = tl.alphas_like(a, True)
  
      with tf.Session() as sess:
          cls._b1, cls._b2, cls._b3, cls._b4 = sess.run(
              [b1, b2, b3, b4]
          )
  
imports: import os
  import unittest
  import numpy
  import tensorflow
  import tensorlayer
  from tests.utils import CustomTestCase
label_desc: Use image node_id 1 for calling the Array_Op_Alphas_Like_Test obj's underlying member method code with example usage: obj.setUpClass(cls) without return types