class_docstr: Replay Buffers for loading existing data.
class_docstr_tok: ["Replay","Buffers","for","loading","existing","data","."]
docstr: Returns min and max clipped returns.
docstr_tok: ["Returns","min","and","max","clipped","returns","."]
code: def min_max_returns(self):
      """Returns min and max clipped returns."""
      if self._dataset_expertise is not None:
          return (self._min_score, self._max_score)
      raise NotImplementedError
  
imports: import os
  from absl import logging
  from dopamine.labs.offline_rl.rlu_tfds import scaling_dataset_utils
  from dopamine.labs.offline_rl.rlu_tfds import tfds_atari_utils
  import gin
label_desc: Use image node_id 2 for calling the JaxFixedReplayBufferTFDS obj's underlying member method code with example usage: obj.min_max_returns() and returns: self,  self