code: def testLogits(self):
      logits = [[0.0, 9.0, -0.5]]
      negbinom = negative_binomial.NegativeBinomial(
          total_count=3.0, logits=logits, validate_args=True
      )
      self.assertEqual([1, 3], negbinom.probs_parameter().shape)
      self.assertEqual([1, 3], negbinom.logits.shape)
      self.assertAllClose(logits, self.evaluate(negbinom.logits))
  
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 3 for calling the NegativeBinomialTest obj's underlying member method code with example usage: obj.testLogits() without return types