code: def testBatesNonNegTotalCount(self):
      ns = [0.0, -1.0]
      for n in ns:
          with self.assertRaisesOpError(
              "`total_count` must be positive."
          ):
              d = bates.Bates(total_count=n, validate_args=True)
              self.evaluate(d.prob(1.0))
  
imports: import fractions
  import math
  import sys
  from absl.testing import parameterized
  import hypothesis
  import hypothesis.strategies
  import numpy
  import scipy
  import scipy.integrate
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import bates
  from tensorflow_probability.python.internal import hypothesis_testlib
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling the BatesTest obj's underlying member method code with example usage: obj.testBatesNonNegTotalCount() without return types