code: def test_dataset_definition(self):
      ds = data_providers.DeepVariantInput(
          mode=tf_estimator.ModeKeys.PREDICT,
          name="name",
          input_file_spec="test.tfrecord",
          num_examples=10,
          num_classes=dv_constants.NUM_CLASSES,
          tensor_shape=[11, 13, dv_constants.PILEUP_NUM_CHANNELS],
      )
      self.assertEqual("name", ds.name)
      self.assertEqual("test.tfrecord", ds.input_file_spec)
      self.assertEqual(10, ds.num_examples)
      self.assertEqual(dv_constants.NUM_CLASSES, ds.num_classes)
      self.assertEqual(
          [11, 13, 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 5 for calling the DataProviderTest obj's underlying member method code with example usage: obj.test_dataset_definition() without return types