code: def testNegativeBinomialLogCdfValidateArgs(self):
      batch_size = 6
      probs = [0.9] * batch_size
      total_count = 5.0
      with self.assertRaisesOpError("Condition x >= 0"):
          negbinom = negative_binomial.NegativeBinomial(
              total_count=total_count, probs=probs, validate_args=True
          )
          self.evaluate(negbinom.log_cdf(-1.0))
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import negative_binomial
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 8 for calling the NegativeBinomialTest obj's underlying member method code with example usage: obj.testNegativeBinomialLogCdfValidateArgs() without return types