code: def testBatesInvalidShapes(self):
      n = np.ones((2, 3))
      l = np.zeros((2, 2))
      with self.assertRaisesRegex(
          ValueError,
          "Arguments `total_count`, `low` and `high` must have compatible shapes",
      ):
          d = bates.Bates(total_count=n, low=l, 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 3 for calling the BatesTest obj's underlying member method code with example usage: obj.testBatesInvalidShapes() without return types