code: def testCauchyShapeWithPlaceholders(self):
      if tf.executing_eagerly():
          return
      loc = tf1.placeholder_with_default(5.0, shape=[])
      scale = tf1.placeholder_with_default([1.0, 2], shape=None)
      dist = cauchy.Cauchy(loc=loc, scale=scale, validate_args=True)
  
      # get_batch_shape should return an '<unknown>' tensor.
      self.assertEqual(dist.batch_shape, tf.TensorShape(None))
      self.assertEqual(dist.event_shape, ())
      self.assertAllEqual(self.evaluate(dist.event_shape_tensor()), [])
      self.assertAllEqual(self.evaluate(dist.batch_shape_tensor()), [2])
  
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 27 for calling the CauchyTest obj's underlying member method code with example usage: obj.testCauchyShapeWithPlaceholders() without return types