docstr: Tests that Lambert W pdf is the same as Normal pdf when tail is zero.
docstr_tok: ["Tests","that","Lambert","W","pdf","is","the","same","as","Normal","pdf","when","tail","is","zero","."]
code: def testProbMethod(self):
      """Tests that Lambert W pdf is the same as Normal pdf when tail is zero."""
      tailweight = 0.0
      loc = 2.0
      scale = 3.0
      lwn = lambertw_f.LambertWNormal(
          loc=loc, scale=scale, tailweight=tailweight
      )
      values = np.random.normal(loc=2.0, scale=3.0, size=10)
      normal_pdf = normal.Normal(loc, scale).prob(values)
      lambertw_normal_pdf = lwn.prob(values)
      self.assertAllClose(normal_pdf, lambertw_normal_pdf)
  
imports: import math
  from absl.testing import parameterized
  import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import lambertw_transform
  from tensorflow_probability.python.distributions import lambertw_f
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import student_t
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.internal import tf_keras
label_desc: Use image node_id 4 for calling the LambertWNormalTest obj's underlying member method code with example usage: obj.testProbMethod() without return types