class_docstr: Fake deterministic Transition Kernel.
class_docstr_tok: ["Fake","deterministic","Transition","Kernel","."]
code: def one_step(self, current_state, previous_kernel_results, seed=None):
      if seed is not None and not self._accepts_seed:
          raise TypeError("seed arg not accepted")
      current_state = tf.convert_to_tensor(current_state)
      return (
          current_state
          + tf.ones(self._shape, dtype=current_state.dtype),
          TestTransitionKernelResults(
              counter_1=previous_kernel_results.counter_1 + 1,
              counter_2=previous_kernel_results.counter_2 + 2,
          ),
      )
  
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 2 for calling the TestTransitionKernel obj's underlying member method code with example usage: obj.one_step(current_state, previous_kernel_results, seed) and returns: unknown,  TestTransitionKernelResults