code: def testInvalidConcentration(self):
      with self.assertRaisesOpError(
          "Argument `concentration` must be non-negative"
      ):
          loc = self.make_tensor(0.0)
          concentration = self.make_tensor(-0.01)
          dist = von_mises.VonMises(
              loc, concentration, validate_args=True
          )
          self.evaluate(dist.entropy())
  
imports: import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import von_mises
  from tensorflow_probability.python.internal import dtype_util
  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 _VonMisesTest obj's underlying member method code with example usage: obj.testInvalidConcentration() without return types