code: def test_everything_scalar(self):
      s = sample.Sample(
          normal.Normal(loc=0, scale=1), 5, validate_args=True
      )
      x = s.sample(seed=test_util.test_seed())
      actual_lp = s.log_prob(x)
      # Sample.log_prob will reduce over event space, ie, dims [0, 2]
      # corresponding to sizes concat([[5], [2]]).
      expected_lp = tf.reduce_sum(s.distribution.log_prob(x), axis=0)
      x_, actual_lp_, expected_lp_ = self.evaluate(
          [x, actual_lp, expected_lp]
      )
      self.assertEqual((5,), x_.shape)
      self.assertEqual((), actual_lp_.shape)
      self.assertAllClose(expected_lp_, actual_lp_, atol=0, rtol=1e-3)
  
imports: import functools
  import os
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import scale_matvec_tril
  from tensorflow_probability.python.distributions import cholesky_lkj
  from tensorflow_probability.python.distributions import exponential
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import log_prob_ratio
  from tensorflow_probability.python.distributions import logistic
  from tensorflow_probability.python.distributions import lognormal
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import poisson
  from tensorflow_probability.python.distributions import sample
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling the SampleDistributionTest obj's underlying member method code with example usage: obj.test_everything_scalar() without return types