class_docstr: Fake deterministic Transition Kernel.
class_docstr_tok: ["Fake","deterministic","Transition","Kernel","."]
code: def __init__(
      self,
      shape=(),
      target_log_prob_fn=None,
      is_calibrated=True,
      accepts_seed=True,
  ):
      self._is_calibrated = is_calibrated
      self._shape = shape
      # for composition purposes
      self.parameters = dict(target_log_prob_fn=target_log_prob_fn)
      self._accepts_seed = accepts_seed
  
imports: import collections
  import tensorflow.compat.v2
  from tensorflow_probability.python.experimental.mcmc import reducer
  from tensorflow_probability.python.mcmc import kernel
  from tensorflow_probability.python.random import random_ops
label_desc: Use image node_id 1 to create a new TestTransitionKernel object from inherited base classes: kernel with example: obj = TestTransitionKernel(shape, target_log_prob_fn, is_calibrated, accepts_seed)