code: def testAssertionsLogits(self):
      x = deferred_tensor.TransformedVariable(
          0.0, tfb.Identity(), shape=None
      )
      with self.assertRaisesRegexp(
          ValueError, "Argument `logits` must have rank at least 1."
      ):
          d = oc.OneHotCategorical(logits=x, validate_args=True)
          self.evaluate([v.initializer for v in d.variables])
          self.evaluate(d.entropy())
  
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import onehot_categorical
  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.util import deferred_tensor
label_desc: Use image node_id 5 for calling the OneHotCategoricalFromVariableTest obj's underlying member method code with example usage: obj.testAssertionsLogits() without return types