code: def testBroadcastingParams(self):
      def _check(gev_dist):
          self.assertEqual(gev_dist.mean().shape, (3,))
          self.assertEqual(gev_dist.variance().shape, (3,))
          self.assertEqual(gev_dist.entropy().shape, (3,))
          self.assertEqual(gev_dist.log_prob(6.0).shape, (3,))
          self.assertEqual(gev_dist.prob(6.0).shape, (3,))
          self.assertEqual(
              gev_dist.sample(37, seed=test_util.test_seed()).shape,
              (
                  37,
                  3,
              ),
          )
  
      _check(
          gev.GeneralizedExtremeValue(
              loc=[
                  2.0,
                  3.0,
                  4.0,
              ],
              scale=2.0,
              concentration=1.0,
              validate_args=True,
          )
      )
      _check(
          gev.GeneralizedExtremeValue(
              loc=3.0,
              scale=[
                  2.0,
                  3.0,
                  4.0,
              ],
              concentration=1.0,
              validate_args=True,
          )
      )
      _check(
          gev.GeneralizedExtremeValue(
              loc=3.0,
              scale=3.0,
              concentration=[
                  2.0,
                  3.0,
                  4.0,
              ],
              validate_args=True,
          )
      )
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import gev
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 16 for calling the _GEVTest obj's underlying member method code with example usage: obj.testBroadcastingParams() without return types