code: def testFromGeneratorWithArgs(self):
      def flat_map_fn(elem):
          def generator_with_arg(n):
              for _ in range(n):
                  yield np.array(n, dtype=np.int64)
  
          return dataset_ops.Dataset.from_generator(
              generator_with_arg,
              output_types=dtypes.int64,
              output_shapes=(),
              args=(elem,),
          )
  
      dataset = dataset_ops.Dataset.range(5).flat_map(flat_map_fn)
      self.assertDatasetProduces(
          dataset, expected_output=[1, 2, 2, 3, 3, 3, 4, 4, 4, 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 17 for calling the FromGeneratorTest obj's underlying member method code with example usage: obj.testFromGeneratorWithArgs() and returns: dataset_ops