code: def testAssertionsProbs(self):
      x = tf.Variable([0.1, 0.7, 0.0])
      with self.assertRaisesOpError("Argument `probs` must sum to 1."):
          d = oc.OneHotCategorical(probs=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 3 for calling the OneHotCategoricalFromVariableTest obj's underlying member method code with example usage: obj.testAssertionsProbs() without return types