code: def testSloppyInterleaveDataset(
      self, input_values, cycle_length, block_length, num_parallel_calls
  ):
      count = 2
      dataset = (
          dataset_ops.Dataset.from_tensor_slices(input_values)
          .repeat(count)
          .interleave(
              lambda x: dataset_ops.Dataset.from_tensors(x).repeat(x),
              cycle_length,
              block_length,
              num_parallel_calls,
          )
      )
      options = options_lib.Options()
      options.deterministic = False
      dataset = dataset.with_options(options)
      expected_output = [
          element
          for element in _interleave(
              _repeat(input_values, count),
              cycle_length,
              block_length,
              num_parallel_calls,
          )
      ]
      get_next = self.getNext(dataset)
      actual_output = []
      for _ in range(len(expected_output)):
          actual_output.append(self.evaluate(get_next()))
      self.assertAllEqual(expected_output.sort(), actual_output.sort())
  
imports: import multiprocessing
  import os
  from absl.testing import parameterized
  import numpy
  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 errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the InterleaveTest obj's underlying member method code with example usage: obj.testSloppyInterleaveDataset(input_values, cycle_length, block_length, num_parallel_calls) without return types