code: def _makeData(self, shape, dtype):
      data = np.random.rand(*shape).astype(dtype.as_numpy_dtype)
      if dtype.is_complex:
          data -= 1j * data
      return data
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the SplitOpTest obj's underlying member method code with example usage: obj._makeData(shape, dtype) and returns: data