original_docstring: 
          The state before the sampling phase. If this attribute is not None,
          :meth:`run` will skip the warmup phase and start with the state
          specified in this attribute.
  
          .. note:: This attribute can be used to sequentially draw MCMC samples. For example,
  
              .. code-block:: python
  
                  mcmc = MCMC(NUTS(model), num_warmup=100, num_samples=100)
                  mcmc.run(random.PRNGKey(0))
                  first_100_samples = mcmc.get_samples()
                  mcmc.post_warmup_state = mcmc.last_state
                  mcmc.run(mcmc.post_warmup_state.rng_key)  # or mcmc.run(random.PRNGKey(1))
                  second_100_samples = mcmc.get_samples()
          
docstring: The state before the sampling phase. If this attribute is not None.
docstring_tokens: The state before the sampling phase . If this attribute is not None .
code: def post_warmup_state(self):
          """
          The state before the sampling phase. If this attribute is not None,
          :meth:`run` will skip the warmup phase and start with the state
          specified in this attribute.
  
          .. note:: This attribute can be used to sequentially draw MCMC samples. For example,
  
              .. code-block:: python
  
                  mcmc = MCMC(NUTS(model), num_warmup=100, num_samples=100)
                  mcmc.run(random.PRNGKey(0))
                  first_100_samples = mcmc.get_samples()
                  mcmc.post_warmup_state = mcmc.last_state
                  mcmc.run(mcmc.post_warmup_state.rng_key)  # or mcmc.run(random.PRNGKey(1))
                  second_100_samples = mcmc.get_samples()
          """
          return self._warmup_state
code_tokens: def post_warmup_state ( self ) : return self . _warmup_state
short_docstring: The state before the sampling phase.
short_docstring_tokens: The state before the sampling phase .
comment: """
          The state before the sampling phase. If this attribute is not None,
          :meth:`run` will skip the warmup phase and start with the state
          specified in this attribute.
  
          .. note:: This attribute can be used to sequentially draw MCMC samples. For example,
  
              .. code-block:: python
  
                  mcmc = MCMC(NUTS(model), num_warmup=100, num_samples=100)
                  mcmc.run(random.PRNGKey(0))
                  first_100_samples = mcmc.get_samples()
                  mcmc.post_warmup_state = mcmc.last_state
                  mcmc.run(mcmc.post_warmup_state.rng_key)  # or mcmc.run(random.PRNGKey(1))
                  second_100_samples = mcmc.get_samples()
          """