code: def test_no_determinism(self):
      config.disable_op_determinism()
      v = variables.Variable(0.0)
  
      def interleave_fn(x):
          del x
          v.assign(1.0)
          return dataset_ops.Dataset.range(2)
  
      dataset = dataset_ops.Dataset.range(5)
      dataset = dataset.apply(
          testing.assert_next(["ParallelInterleave"])
      )
      dataset = dataset.interleave(
          interleave_fn, cycle_length=5, num_parallel_calls=3
      )
      self.evaluate(variables.global_variables_initializer())
      expected_output = [0] * 5 + [1] * 5
      self.assertDatasetProduces(
          dataset,
          expected_output=expected_output,
          requires_initialization=True,
      )
  
imports: import os
  import time
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.data.experimental.ops import batching
  from tensorflow.python.data.experimental.ops import interleave_ops
  from tensorflow.python.data.experimental.ops import testing
  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.data.ops import readers
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 13 for calling the MakeDeterministicTest obj's underlying member method code with example usage: obj.test_no_determinism() and returns: dataset_ops