class_docstr: Reference:
  - HF Hub: https://huggingface.co/rinna/japanese-gpt-neox-3.6b-instruction-sft
code: def preprocess_ctx(self, ctx, max_length):
      # if ctx fits in max length, return
      if len(self.tokenizer.encode(ctx)) <= max_length:
          return ctx
  
      # if ctx is too long, split on a tag that separates each example
      description, remainder = ctx.split(self.END_OF_DESCRIPTION, 1)
      ctxs = remainder.split(self.START_OF_FEWSHOT)
  
      # if there is no example and still the prompt is too long, fail
      if len(ctxs) < 2:
          raise ValueError(
              f"0-shot description+example doesn't fit in max length. ctx: {ctx}"
          )
  
      # delete the first example, last is questioning example
      del ctxs[1]
  
      new_ctx = self.END_OF_DESCRIPTION.join(
          [description, self.START_OF_FEWSHOT.join(ctxs)]
      )
      # recurse
      return self.preprocess_ctx(new_ctx, max_length)
  
imports: import os
  import inspect
  import datasets
  from lm_eval.base import MultipleChoiceTask, rf
  import numpy
label_desc: Use image node_id 4 for calling the JAQKETV1WithRinnaInstructionSFT obj's underlying member method code with example usage: obj.preprocess_ctx(ctx, max_length) and returns: self, ctx