code: def testName(self):
      dataset = dataset_ops.Dataset.from_tensors(42).filter(
          lambda x: True, name="filter"
      )
      self.assertDatasetProduces(dataset, [42])
  
imports: 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 dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import map_fn
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 9 for calling the FilterParallelizationTest obj's underlying member method code with example usage: obj.testName() without return types