code: def testP(self):
      p = [0.2, 0.4]
      dist = bernoulli.Bernoulli(probs=p, validate_args=True)
      self.assertAllClose(p, self.evaluate(dist.probs))
  
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 1 for calling the BernoulliTest obj's underlying member method code with example usage: obj.testP() without return types