code: def _randomDataOp(self, shape, data_type):
      return constant_op.constant(
          self._randomNDArray(shape), dtype=data_type
      )
  
imports: import numpy
  from absl.testing import parameterized
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.kernel_tests.nn_ops import bias_op_base
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the BiasAddDeterministicTest obj's underlying member method code with example usage: obj._randomDataOp(shape, data_type) and returns: constant_op