class_docstr: Used inside of an `AbstractReasoningTeacher` to define how the "Reason" part of an
  example should be serialized out to a string, given a dict object that includes all
  necessary information for the example.
  
  Downstream classes can also implement `perturbations` on these reasons. (See
  `reason_types/step_by_step.py` for examples of this.)
class_docstr_tok: ["Used","inside","of","an","`","AbstractReasoningTeacher","`","to","define","how","the","``","Reason","''","part","of","an","example","should","be","serialized","out","to","a","string",",","given","a","dict","object","that","includes","all","necessary","information","for","the","example",".","Downstream","classes","can","also","implement","`","perturbations","`","on","these","reasons",".","(","See","`","reason_types\/step_by_step.py","`","for","examples","of","this",".",")"]
docstr: Can be overridden to parallelize expensive parts of the get_full_reason_text
  operation.
  
  Only called when --preload-batch-size is set to a value greater than one.
docstr_tok: ["Can","be","overridden","to","parallelize","expensive","parts","of","the","get_full_reason_text","operation",".","Only","called","when","--","preload-batch-size","is","set","to","a","value","greater","than","one","."]
code: def batch_get_full_reason_text(
      self, examples: List[Dict]
  ) -> List[t_REASON_PROCESSED_RESULT]:
      """
      Can be overridden to parallelize expensive parts of the get_full_reason_text
      operation.
  
      Only called when --preload-batch-size is set to a value greater than one.
      """
      return [self.get_full_reason_text(e) for e in examples]
  
imports: from parlai.core.opt import Opt
  from parlai.core.message import Message
  from parlai.core.params import ParlaiParser
  from parlai.core.teachers import DialogTeacher
  from tqdm import tqdm
  from typing import Any, Dict, Iterable, List, Optional, Tuple
label_desc: Use image node_id 4 for calling the AbstractReason obj's underlying member method code with example usage: obj.batch_get_full_reason_text(examples) and returns: unknown