code: def test_multiplex_select(self):
      a1 = tf.constant([1, 2, 3, 4, 5], dtype=tf.int64)
      a2 = tf.constant([6, 7, 8, 9, 10], dtype=tf.int64)
      a3 = tf.constant([11, 12, 13, 14, 15], dtype=tf.int64)
      a = [a1, a2, a3]
      b = tf.constant([101, 102, 103, 104, 105], dtype=tf.int64)
      cond1 = tf.constant(
          [False, False, True, False, False], dtype=bool
      )
      cond2 = tf.constant(
          [False, False, False, False, True], dtype=bool
      )
      cond3 = tf.constant([True, False, True, False, True], dtype=bool)
      cond = [cond1, cond2, cond3]
      expect = np.select(
          [self.evaluate(i) for i in cond],
          [self.evaluate(i) for i in a],
          self.evaluate(b),
      )
      # expected result is [11, 102, 3, 104, 10]
      result = multiplex_4_op.multiplex(cond, a, b)
      self.assertAllEqual(result, expect)
  
file_path: tensorflow/tensorflow/examples/custom_ops_doc/multiplex_4/multiplex_4_test.py
imports: import os
  import numpy
  import tensorflow
  from tensorflow.examples.custom_ops_doc.multiplex_4 import model_using_multiplex
  from tensorflow.examples.custom_ops_doc.multiplex_4 import multiplex_4_op
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 2 for calling the MultiplexOpTest obj's underlying member method code with example usage: obj.test_multiplex_select() without return types