code: def testInvalidBufferSize(self, buffer_size):
      with self.assertRaises(errors.InvalidArgumentError):
          dataset = dataset_ops.Dataset.range(10).prefetch(
              buffer_size=buffer_size
          )
          self.evaluate(dataset._variant_tensor)
  
imports: import time
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import random_access
  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.data.ops import prefetch_op
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the PrefetchTest obj's underlying member method code with example usage: obj.testInvalidBufferSize(buffer_size) without return types