code: def test_transpose_method(self):
      a = np.array([[1, 2], [3, 4]])
      assert_equal(a.transpose(), [[1, 3], [2, 4]])
      assert_equal(a.transpose(None), [[1, 3], [2, 4]])
      assert_raises((RuntimeError, ValueError), lambda: a.transpose(0))
      assert_raises(
          (RuntimeError, ValueError), lambda: a.transpose(0, 0)
      )
      assert_raises(
          (RuntimeError, ValueError), lambda: a.transpose(0, 1, 2)
      )
  
      assert a.transpose().tensor._base is a.tensor
  
imports: import itertools
  from unittest import expectedFailure, skipIf
  import numpy
  import pytest
  from pytest import raises
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, skipIfTorchDynamo, subtest, TEST_WITH_TORCHDYNAMO, TestCase, xpassIfTorchDynamo
label_desc: Use image node_id 2 for calling the TestTranspose obj's underlying member method code with example usage: obj.test_transpose_method() without return types