code: def test_tf_experimental_source_disabled():
      pipe = Pipeline(10, 4, 0)
      with pipe:
          input = fn.external_source(
              source=lambda: np.full((4, 4), 0), batch=False
          )
          pipe.set_outputs(fn.pad(input))
      dali_tf.DALIDataset(pipe, output_dtypes=tf.int32)
  
imports: import tensorflow
  import numpy
  from nvidia.dali import Pipeline, pipeline_def
  import nvidia.dali.plugin.tf
  from nvidia.dali.plugin.tf.experimental import Input
  from nvidia.dali import fn
  from nose.tools import with_setup
  from test_dali_tf_dataset_pipelines import FixedSampleIterator, RandomSampleIterator, external_source_converter_multiple, external_source_converter_with_callback, external_source_converter_with_fixed_value, external_source_tester, external_source_tester_multiple, get_min_shape_helper, many_input_pipeline
  from test_dali_tf_es_pipelines import external_source_to_tf_dataset, gen_tf_with_dali_external_source, get_external_source_pipe
  from test_utils_tensorflow import get_dali_dataset_from_pipeline, get_image_pipeline, get_mix_size_image_pipeline, run_dataset_eager_mode, run_tf_dataset_eager_mode, run_tf_dataset_multigpu_eager_manual_placement, run_tf_dataset_multigpu_eager_mirrored_strategy, skip_for_incompatible_tf, skip_inputs_for_incompatible_tf
  from nose_utils import raises
  import random
  import itertools
label_desc: Use image node_id 33 for calling a global function with example usage: test_tf_experimental_source_disabled() without return types