code: def testPythonImplementation(
      self, input_values, cycle_length, block_length, expected_elements
  ):
      input_lists = _repeat(input_values, 2)
  
      for expected, produced in zip(
          expected_elements,
          _interleave(input_lists, cycle_length, block_length),
      ):
          self.assertEqual(expected, produced)
  
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 1 for calling the InterleaveTest obj's underlying member method code with example usage: obj.testPythonImplementation(input_values, cycle_length, block_length, expected_elements) without return types