code: def testArrayPriority(self):
      x = dtc._TensorCoercible(
          normal.Normal(loc=1.5, scale=1),
          distribution.Distribution.mean,
      )
      y = np.array(3.0, dtype=np.float32)
      self.assertEqual(2.0, self.evaluate(y / 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 5 for calling the DistributionTensorConversionTest obj's underlying member method code with example usage: obj.testArrayPriority() without return types