code: def test_min_disallowed_size(self):
      elems = self.evaluate(
          uniform.Uniform(-1.0, 1.0).sample(
              [512], seed=test_util.test_seed()
          )
      )
  
      with self.assertRaisesRegexp(
          Exception, "Input `Tensor`s must have dimension less than"
      ):
          self.evaluate(
              scan_associative(
                  operator.add,
                  self._maybe_static(elems),
                  max_num_levels=8,
                  validate_args=True,
              )
          )
  
imports: import collections
  import functools
  import operator
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.math.scan_associative import scan_associative
label_desc: Use image node_id 13 for calling the _ScanAssociativeTest obj's underlying member method code with example usage: obj.test_min_disallowed_size() without return types