code: def _setup(self, dtype):
      prot = tfe.protocol.Pond()
      tfe.set_protocol(prot)
  
      plain_tensor = dtype.tensor(np.array([[1, 2, 3], [4, 5, 6]]))
      # pylint: disable=protected-access
      unmasked = prot._share_and_wrap(plain_tensor, False)
      # pylint: enable=protected-access
      a0 = dtype.sample_uniform(plain_tensor.shape)
      a1 = dtype.sample_uniform(plain_tensor.shape)
      a = a0 + a1
      alpha = plain_tensor - a
      x = PondMaskedTensor(
          prot, unmasked, a, a0, a1, alpha, alpha, False
      )
      return prot, x
  
imports: import unittest
  import numpy
  import pytest
  import tensorflow
  import tf_encrypted
  from tf_encrypted.protocol.pond import PondMaskedTensor
  from tf_encrypted.protocol.pond import PondPublicTensor
  from tf_encrypted.tensor import fixed100
  from tf_encrypted.tensor import fixed100_ni
  from tf_encrypted.tensor import int64factory
  from tf_encrypted.tensor import int100factory
  from tf_encrypted.tensor import native_factory
label_desc: Use image node_id 1 for calling the TestMasked obj's underlying member method code with example usage: obj._setup(dtype) and returns: prot,  x