code: def testAssertValidSample(self):
      temperature = 0.4
      logits = np.array([[0.3, 0.1, 0.4]]).astype(np.float32)
      dist = roc.ExpRelaxedOneHotCategorical(
          temperature, logits, validate_args=True
      )
      with self.assertRaisesOpError(
          "Samples must be less than or equal to"
      ):
          self.evaluate(dist.log_prob([-0.2, 0.5, 0.3]))
  
      dist = roc.RelaxedOneHotCategorical(
          temperature, logits, validate_args=True
      )
      with self.assertRaisesOpError("samples must sum to"):
          self.evaluate(dist.prob([0.4, 0.1, 0.3]))
  
imports: from absl.testing import parameterized
  import numpy
  from scipy.special import gamma
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.distributions import relaxed_onehot_categorical
  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 10 for calling the RelaxedOneHotCategoricalTest obj's underlying member method code with example usage: obj.testAssertValidSample() without return types