code: def testScalar(self):
      with test_util.use_gpu():
          indices = [constant_op.constant(0), constant_op.constant(1)]
          data = [
              constant_op.constant(40.0),
              constant_op.constant(60.0),
          ]
          for step in -1, 1:
              stitched_t = data_flow_ops.dynamic_stitch(
                  indices[::step], data
              )
              stitched_val = self.evaluate(stitched_t)
              self.assertAllEqual([40.0, 60.0][::step], stitched_val)
              # Dimension 0 is max(flatten(indices))+1.
              self.assertEqual([2], 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 2 for calling the ParallelDynamicStitchTest obj's underlying member method code with example usage: obj.testScalar() without return types