class_docstr: A BNN corresponding to a periodic kernel.
class_docstr_tok: ["A","BNN","corresponding","to","a","periodic","kernel","."]
code: def setup(self):
      # TODO(colcarroll): Figure out how to assert that self.period is positive.
  
      self.input_warping = make_periodic_input_warping(
          self.period, self.periodic_index, include_original=False
      )
      super().setup()
  
imports: from flax import linen
  from flax.linen import initializers
  import jax
  import jax.numpy
  from tensorflow_probability.python.experimental.autobnn import bnn
  from tensorflow_probability.substrates.jax.distributions import lognormal
  from tensorflow_probability.substrates.jax.distributions import normal
  from tensorflow_probability.substrates.jax.distributions import student_t
  from tensorflow_probability.substrates.jax.distributions import uniform
label_desc: Use image node_id 1 for calling the PeriodicBNN obj's underlying member method code with example usage: obj.setup() without return types