code: def testAssertionsTemperature(self):
      x = tf.Variable(0.8)
      probs = [0.1, 0.35, 0.7]
      d = relaxed_bernoulli.RelaxedBernoulli(
          x, probs=probs, validate_args=True
      )
      self.evaluate(x.initializer)
      self.evaluate(d.sample(seed=test_util.test_seed()))
      with tf.control_dependencies([x.assign(-1.2)]):
          with self.assertRaisesOpError(
              "Argument `temperature` must be positive."
          ):
              self.evaluate(d.sample(seed=test_util.test_seed()))
  
imports: import numpy
  import scipy.special
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import relaxed_bernoulli
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 5 for calling the RelaxedBernoulliFromVariableTest obj's underlying member method code with example usage: obj.testAssertionsTemperature() without return types