code: def testHalfCauchyCdfValidateArgs(self):
      batch_size = 3
      loc = self._create_placeholder_with_default(
          [-1, 0.0, 1.1], name="loc"
      )
      scale = self._create_placeholder_with_default(
          [1.0] * batch_size, name="scale"
      )
      dist = half_cauchy.HalfCauchy(loc, scale, validate_args=True)
      x_vals = [[-1.1, 1.0, 2.0], [0.0, -1.0, 2.0], [0.0, 1.0, 1.09]]
      for x_ in x_vals:
          for f in [dist.cdf, dist.log_cdf]:
              with self.assertRaisesOpError("must be greater than"):
                  x = self._create_placeholder_with_default(
                      x_, name="x"
                  )
                  self.evaluate(f(x))
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import half_cauchy
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 14 for calling the _HalfCauchyTest obj's underlying member method code with example usage: obj.testHalfCauchyCdfValidateArgs() without return types