code: def testSkipAndTake(self, skip, take):
      num_elements = 10
      file_infos = []
      file_infos.append(
          {
              "path": "unused",
              "num_elements": num_elements,
              "skip": skip if skip >= 0 else num_elements,
              "take": take if take >= 0 else num_elements,
          }
      )
      start = skip if skip >= 0 else num_elements
      stop = min(
          num_elements, skip + take if take >= 0 else num_elements
      )
      expected = np.arange(start, stop)
  
      def reader_factory(_):
          return dataset_ops.Dataset.range(10)
  
      dataset = shuffle_ops.index_shuffle(file_infos, reader_factory)
      actual = self.getDatasetOutput(
          dataset, requires_initialization=True
      )
      self.assertAllEqual(sorted(expected), sorted(actual))
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import shuffle_ops
  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 dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the IndexShuffleTest obj's underlying member method code with example usage: obj.testSkipAndTake(skip, take) and returns: dataset_ops