code: def test_unique_axis(self):
      types = []
      types.extend(np.typecodes["AllInteger"])
      types.extend(np.typecodes["AllFloat"])
  
      for dtype in types:
          self._run_axis_tests(dtype)
  
      msg = "Non-bitwise-equal booleans test failed"
      data = np.arange(10, dtype=np.uint8).reshape(-1, 2).view(bool)
      result = np.array([[False, True], [True, True]], dtype=bool)
      assert_array_equal(unique(data, axis=0), result, msg)
  
      msg = "Negative zero equality test failed"
      data = np.array(
          [[-0.0, 0.0], [0.0, -0.0], [-0.0, 0.0], [0.0, -0.0]]
      )
      result = np.array([[-0.0, 0.0]])
      assert_array_equal(unique(data, axis=0), result, msg)
  
imports: from unittest import skipIf
  import numpy
  from pytest import raises
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, subtest, TEST_WITH_TORCHDYNAMO, TestCase, xpassIfTorchDynamo
label_desc: Use image node_id 5 for calling the TestUnique obj's underlying member method code with example usage: obj.test_unique_axis() without return types