class_docstr: Fake TransitionKernel for testing MetropolisHastings.
class_docstr_tok: ["Fake","TransitionKernel","for","testing","MetropolisHastings","."]
code: def is_calibrated(self):
      self.call_count["is_calibrated"] += 1
      return self._is_calibrated
  
imports: import collections
  import warnings
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.mcmc import kernel
  from tensorflow_probability.python.mcmc import metropolis_hastings
  from tensorflow_probability.python.mcmc.internal.util import is_list_like
label_desc: Use image node_id 3 for calling the FakeTransitionKernel obj's underlying member method code with example usage: obj.is_calibrated() and returns: self