code: def testCauchyNegativeScaleFails(self):
      with self.assertRaisesOpError("`scale` must be positive."):
          dist = cauchy.Cauchy(
              loc=[1.0], scale=[-5.0], validate_args=True
          )
          self.evaluate(dist.mode())
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import cauchy
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 25 for calling the CauchyTest obj's underlying member method code with example usage: obj.testCauchyNegativeScaleFails() without return types