code: def testCauchyShape(self):
      loc = tf.constant([-3.0] * 5)
      scale = tf.constant(11.0)
      dist = cauchy.Cauchy(loc=loc, scale=scale, validate_args=True)
  
      self.assertEqual(self.evaluate(dist.batch_shape_tensor()), [5])
      self.assertEqual(dist.batch_shape, tf.TensorShape([5]))
      self.assertAllEqual(self.evaluate(dist.event_shape_tensor()), [])
      self.assertEqual(dist.event_shape, tf.TensorShape([]))
  
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 26 for calling the CauchyTest obj's underlying member method code with example usage: obj.testCauchyShape() without return types