code: def _build_ds(self, cycle_length, block_length, sloppy=False):
      return (
          dataset_ops.Dataset.from_tensor_slices(self.input_values)
          .repeat(self.num_repeats)
          .apply(
              interleave_ops.parallel_interleave(
                  lambda x: dataset_ops.Dataset.range(10 * x, 11 * x),
                  cycle_length,
                  block_length,
                  sloppy,
              )
          )
      )
  
imports: import itertools
  import math
  import threading
  import time
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import interleave_ops
  from tensorflow.python.data.experimental.ops import testing
  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.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the ParallelInterleaveCheckpointTest obj's underlying member method code with example usage: obj._build_ds(cycle_length, block_length, sloppy) and returns: dataset_ops