code: def testFloatMode(self):
      dist = bernoulli.Bernoulli(
          probs=0.6, dtype=tf.float32, validate_args=True
      )
      self.assertEqual(np.float32(1), self.evaluate(dist.mode()))
  
imports: import numpy
  from scipy import special
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import bernoulli
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 6 for calling the BernoulliTest obj's underlying member method code with example usage: obj.testFloatMode() without return types