code: def testError(self):
      with self.assertRaisesRegex(
          (ValueError, errors.InvalidArgumentError), r"must be rank 1"
      ):
          array_ops.transpose(
              np.arange(0.0, 30).reshape([2, 3, 5]), [[0, 1], [2, 3]]
          )
      with self.assertRaisesRegex(
          (ValueError, errors.InvalidArgumentError),
          r"3 is out of range",
      ):
          array_ops.transpose(
              np.arange(0.0, 30).reshape([2, 3, 5]), [0, 1, 3]
          )
      self._testError(
          np.arange(0.0, 30).reshape([2, 3, 5]),
          [0, 1, 1],
          "2 is missing",
      )
  
imports: import itertools
  import numpy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.platform import test
label_desc: Use image node_id 34 for calling the TransposeTest obj's underlying member method code with example usage: obj.testError() without return types