code: def test2DRaggedTensorWithOneRaggedDimension(self):
      rt = ragged_factory_ops.constant(
          [["a", "b"], ["c", "d", "e"], ["f"], [], ["g"]]
      )
      st = self.evaluate(rt.to_sparse())
      self.assertAllEqual(
          st.indices,
          [[0, 0], [0, 1], [1, 0], [1, 1], [1, 2], [2, 0], [4, 0]],
      )
      self.assertAllEqual(st.values, b"a b c d e f g".split())
      self.assertAllEqual(st.dense_shape, [5, 3])
  
imports: from tensorflow.python.eager import context
  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 gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_functional_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 2 for calling the RaggedTensorToSparseOpTest obj's underlying member method code with example usage: obj.test2DRaggedTensorWithOneRaggedDimension() without return types