class_docstr: Fake distribution for testing logical operators.
class_docstr_tok: ["Fake","distribution","for","testing","logical","operators","."]
code: def _mean(self):
      return tf.convert_to_tensor([True, False], dtype=tf.bool)
  
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 2 for calling the FakeBoolDistribution obj's underlying member method code with example usage: obj._mean() and returns: tf