code: def _testFromGenerator(
      self,
      generator,
      elem_sequence,
      num_repeats,
      requires_initialization,
  ):
      dataset = (
          dataset_ops.Dataset.from_generator(
              generator, output_types=dtypes.int64
          )
          .repeat(num_repeats)
          .prefetch(5)
      )
      self.assertDatasetProduces(
          dataset,
          elem_sequence * num_repeats,
          requires_initialization=requires_initialization,
          num_test_iterations=2,
      )
  
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 1 for calling the FromGeneratorTest obj's underlying member method code with example usage: obj._testFromGenerator(generator, elem_sequence, num_repeats, requires_initialization) without return types