code: def testAssertionsTotalCount(self):
      x = tf.Variable([-1.0, 4.0, 1.0])
      d = binomial_lib.Binomial(
          total_count=x, logits=[0.0, 0.0, 0.0], validate_args=True
      )
      self.evaluate([v.initializer for v in d.variables])
      with self.assertRaisesOpError(
          "`total_count` must be non-negative."
      ):
          self.evaluate(d.mean())
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import binomial
  from tensorflow_probability.python.internal import implementation_selection
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 1 for calling the BinomialFromVariableTest obj's underlying member method code with example usage: obj.testAssertionsTotalCount() without return types