code: def testFromGeneratorSparseTensor(self):
      def generator():
          yield sparse_tensor.SparseTensor(
              indices=[[0, 0], [1, 2]],
              values=constant_op.constant([1, 2], dtype=dtypes.int64),
              dense_shape=[3, 4],
          )
  
      dataset = dataset_ops.Dataset.from_generator(
          generator,
          output_signature=sparse_tensor.SparseTensorSpec(
              [3, 4], dtypes.int64
          ),
      )
  
      get_next = self.getNext(dataset)
  
      ret = get_next()
  
      self.assertIsInstance(ret, sparse_tensor.SparseTensor)
      self.assertAllEqual(
          [[1, 0, 0, 0], [0, 0, 2, 0], [0, 0, 0, 0]],
          sparse_ops.sparse_tensor_to_dense(ret),
      )
  
imports: import threading
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import from_generator_op
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  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_spec
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
label_desc: Use image node_id 22 for calling the FromGeneratorTest obj's underlying member method code with example usage: obj.testFromGeneratorSparseTensor() without return types