code: def testOneListOneDimensional(self):
      indices = [constant_op.constant([1, 6, 2, 3, 5, 0, 4, 7])]
      data = [constant_op.constant([10, 60, 20, 30, 50, 0, 40, 70])]
      stitched_t = self.stitch_op(indices, data)
      stitched_val = self.evaluate(stitched_t)
      self.assertAllEqual([0, 10, 20, 30, 40, 50, 60, 70], stitched_val)
      # Dimension 0 is max(flatten(indices))+1.
      self.assertEqual([8], stitched_t.get_shape().as_list())
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import gradients_impl
  import tensorflow.python.ops.data_flow_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the DynamicStitchTestBase obj's underlying member method code with example usage: obj.testOneListOneDimensional() without return types