code: def testBasic(self, count):
      components = (np.arange(10),)
      dataset = dataset_ops.Dataset.from_tensor_slices(components).skip(
          count
      )
      self.assertEqual(
          [c.shape[1:] for c in components],
          [
              shape
              for shape in dataset_ops.get_legacy_output_shapes(dataset)
          ],
      )
      start_range = min(count, 10) if count != -1 else 10
      self.assertDatasetProduces(
          dataset,
          [
              tuple(components[0][i : i + 1])
              for i in range(start_range, 10)
          ],
      )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import random_access
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the SkipTest obj's underlying member method code with example usage: obj.testBasic(count) without return types