class_docstr: Fake distribution for testing logical operators.
class_docstr_tok: ["Fake","distribution","for","testing","logical","operators","."]
code: def __init__(self):
      super(FakeBoolDistribution, self).__init__(
          dtype=tf.bool,
          reparameterization_type=reparameterization.FULLY_REPARAMETERIZED,
          validate_args=False,
          allow_nan_stats=True,
      )
  
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 1 to create a new FakeBoolDistribution object from inherited base classes: distribution with example: obj = FakeBoolDistribution()