code: def testAssertions(self):
      x = deferred_tensor.TransformedVariable(
          0.3679, exp.Exp(), shape=None
      )
      with self.assertRaisesRegexp(
          ValueError,
          "Argument `concentration` must have rank at least 1.",
      ):
          d = dirichlet.Dirichlet(concentration=x, validate_args=True)
          self.evaluate([v.initializer for v in d.variables])
          self.evaluate(d.entropy())
  
imports: import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.distributions import dirichlet
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.util import deferred_tensor
label_desc: Use image node_id 2 for calling the DirichletFromVariableTest obj's underlying member method code with example usage: obj.testAssertions() without return types