code: def test_get_dataset(self):
      dataset_config_pbtext_filename = _test_dataset_config(
          "golden.dataset_config.pbtxt",
          name="some_dataset_name",
          tfrecord_path="/dev/null",
          num_examples=1000,
      )
      ds = data_providers.get_input_fn_from_dataset(
          dataset_config_pbtext_filename,
          mode=tf_estimator.ModeKeys.EVAL,
          tensor_shape=[3, 4, dv_constants.PILEUP_NUM_CHANNELS],
      )
  
      self.assertEqual("some_dataset_name", ds.name)
      self.assertEqual("/dev/null", ds.input_file_spec)
      self.assertEqual(1000, ds.num_examples)
      self.assertEqual(
          [3, 4, dv_constants.PILEUP_NUM_CHANNELS], ds.tensor_shape
      )
  
imports: import math
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow import estimator
  from deepvariant import data_providers
  from deepvariant import dv_config
  from deepvariant import dv_constants
  from deepvariant import dv_utils
  from deepvariant import testdata
  from deepvariant.protos import deepvariant_pb2
  from third_party.nucleus.io import tfrecord
  from third_party.nucleus.testing import test_utils
  from third_party.nucleus.util import variant_utils
  from tensorflow.core.example import example_pb2
label_desc: Use image node_id 1 for calling the DataProviderTest obj's underlying member method code with example usage: obj.test_get_dataset() without return types