code: def testOperatorBoolNonzero(self):
      loc = np.array([-0.25, 0.5], dtype=np.float32)
      x = dtc._TensorCoercible(
          normal.Normal(loc=loc, scale=1),
          distribution.Distribution.mean,
      )
      with self.assertRaises(TypeError):
          _ = not x
  
imports: import gc
  import operator
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import categorical
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.layers import distribution_layer
  from tensorflow_probability.python.layers.internal import distribution_tensor_coercible
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 10 for calling the DistributionTensorConversionTest obj's underlying member method code with example usage: obj.testOperatorBoolNonzero() without return types