code: def testInt32V2(self):
      # This test is only temporary, once V2 is used
      # by default, the axis will be wrapped to allow `axis=None`.
      x = np.random.randint(2, high=10, size=7000)
      y, idx = gen_array_ops.unique_v2(x, axis=np.array([], np.int32))
      tf_y, tf_idx = self.evaluate([y, idx])
  
      self.assertEqual(len(x), len(tf_idx))
      self.assertEqual(len(tf_y), len(np.unique(x)))
      for i in range(len(x)):
          self.assertEqual(x[i], tf_y[tf_idx[i]])
  
imports: import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the UniqueTest obj's underlying member method code with example usage: obj.testInt32V2() without return types