code: def testScalar(self):
      with self.cached_session():
          x = constant_op.constant(42, dtype=dtypes.float32, shape=[])
          xt = array_ops.transpose(x)
          self.assertAllEqual(xt, x)
  
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 32 for calling the TransposeTest obj's underlying member method code with example usage: obj.testScalar() without return types