code: def testFromGeneratorDatastructures(self):
      # Tests multiple datastructures.
      def generator():
          yield {"a": "foo", "b": [1, 2], "c": (9,)}
          yield {"a": "bar", "b": [3], "c": (7, 6)}
          yield {"a": "baz", "b": [5, 6], "c": (5, 4)}
  
      dataset = dataset_ops.Dataset.from_generator(
          generator,
          output_types={
              "a": dtypes.string,
              "b": dtypes.int32,
              "c": dtypes.int32,
          },
          output_shapes={"a": [], "b": [None], "c": [None]},
      )
      self.assertDatasetProduces(
          dataset,
          expected_output=[
              {"a": b"foo", "b": [1, 2], "c": [9]},
              {"a": b"bar", "b": [3], "c": [7, 6]},
              {"a": b"baz", "b": [5, 6], "c": [5, 4]},
          ],
      )
  
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 10 for calling the FromGeneratorTest obj's underlying member method code with example usage: obj.testFromGeneratorDatastructures() without return types