code: def testInt32Axis(self):
      for dtype in [np.int32, np.int64]:
          with self.subTest(dtype=dtype):
              x = np.array([[1, 0, 0], [1, 0, 0], [2, 0, 0]])
              y0, idx0, count0 = gen_array_ops.unique_with_counts_v2(
                  x, axis=np.array([0], dtype)
              )
              self.assertEqual(y0.shape.rank, 2)
              tf_y0, tf_idx0, tf_count0 = self.evaluate(
                  [y0, idx0, count0]
              )
              y1, idx1, count1 = gen_array_ops.unique_with_counts_v2(
                  x, axis=np.array([1], dtype)
              )
              self.assertEqual(y1.shape.rank, 2)
              tf_y1, tf_idx1, tf_count1 = self.evaluate(
                  [y1, idx1, count1]
              )
              self.assertAllEqual(
                  tf_y0, np.array([[1, 0, 0], [2, 0, 0]])
              )
              self.assertAllEqual(tf_idx0, np.array([0, 0, 1]))
              self.assertAllEqual(tf_count0, np.array([2, 1]))
              self.assertAllEqual(
                  tf_y1, np.array([[1, 0], [1, 0], [2, 0]])
              )
              self.assertAllEqual(tf_idx1, np.array([0, 1, 1]))
              self.assertAllEqual(tf_count1, np.array([1, 2]))
  
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 4 for calling the UniqueWithCountsTest obj's underlying member method code with example usage: obj.testInt32Axis() without return types