code: def testFromTensorSlicesRagged(self):
      components = (
          ragged_factory_ops.constant_value([[[0]], [[1]], [[2]]]),
          ragged_factory_ops.constant_value([[[3]], [[4]], [[5]]]),
      )
      dataset = dataset_ops.Dataset.from_tensor_slices(components)
      expected = [
          (
              ragged_factory_ops.constant_value([[0]]),
              ragged_factory_ops.constant_value([[3]]),
          ),
          (
              ragged_factory_ops.constant_value([[1]]),
              ragged_factory_ops.constant_value([[4]]),
          ),
          (
              ragged_factory_ops.constant_value([[2]]),
              ragged_factory_ops.constant_value([[5]]),
          ),
      ]
      self.assertDatasetProduces(dataset, expected_output=expected)
  
imports: import collections
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import random_access
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 9 for calling the FromTensorSlicesTest obj's underlying member method code with example usage: obj.testFromTensorSlicesRagged() without return types